Software quality refers to how well a software product or service meets requirements and expectations. It is subjective as it depends on the perspective of the customer. Common aspects of quality include the software being bug-free, delivered on time and on budget, meeting requirements, and being maintainable. True software quality can only be determined by measuring how well the software serves its intended purpose from the viewpoint of all stakeholders.
This document discusses various performance testing methodologies. It begins by introducing performance testing as a subset of performance engineering aimed at building performance into a system's design. The document then describes different types of performance testing including load testing, stress testing, endurance/soak testing, spike testing, and configuration testing. It emphasizes that performance testing validates attributes like scalability and resource usage under various loads.
Writing Test Cases From User Stories And Acceptance Criteria
The acceptance criteria provides the majority of what needs to be tested from the user story. To achieve maximum test coverage, time should be taken to consider the workflow, boundaries, and negative scenarios based on the acceptance criteria. Writing test cases in this way can help identify requirement gaps, prevent code re-work, and save the entire team from unnecessary headaches by ensuring the test cases remain up-to-date and address all aspects of the user story.
Requirements validation certifies that the requirements document accurately describes the system to be built. It checks for completeness, consistency, standards compliance, and technical errors. Validation analyzes the final requirements document, while analysis works with initial requirements. Validation inputs include the requirements document and organizational standards. Outputs are a problem list and agreed actions. Requirements reviews involve analyzing the document for problems, discussing issues, and agreeing on solutions. Validation techniques include reviews, prototyping, modeling, and testing.
This document discusses quality metrics and their importance in measuring and improving pharmaceutical quality. It defines quality metrics as standards used to assess efficiency, performance, and quality. Quality metrics help ensure what is measured gets recorded, monitored, controlled, and improved. The document outlines key quality metrics like batch acceptance rate, product complaint rate, and invalid OOS rate. It also discusses FDA's guidance around voluntary submission of quality metrics data and the benefits this can provide manufacturers. Overall quality metrics are presented as an important tool for continual improvement and assurance of patient safety.
A traceability matrix traces requirements to tests, code, and design specifications. It provides backward traceability from tests to requirements and forward traceability from requirements to tests and code. The matrix links high-level requirements to lower-level tests, design documents, and code files. This allows one to ensure all requirements are tested, identify untested requirements, and determine which tests need updating when requirements change.
The document discusses different perspectives on requirements engineering (RE) processes:
(1) RE can be viewed as part of the larger systems engineering process involving system requirements, architectural design, integration, and validation;
(2) RE involves eliciting, analyzing, documenting, and validating requirements as part of the system acquisition and design processes in an iterative spiral manner;
(3) The inputs to RE include stakeholder needs, existing systems information, and standards, and the outputs include the system specification and models.
The document provides an overview of an SQA workshop on quality and process concepts. It discusses quality models, the SQA role, and audit systems. Key topics covered include quality definitions, quality gurus, total quality management, process management, industry quality models like ISO 9001 and CMMI, quality system elements, and the purpose and types of audits.
The V-Model is a software development lifecycle model where each phase of the development process is verified by an opposing phase of testing. It follows a sequential design process like the waterfall model. The V-Model contains verification phases on one side and validation phases on the other side joined by the coding phase in a V-shape. Each phase of the verification side plans testing for the corresponding development phase on the validation side. This includes unit testing, integration testing, system testing, and acceptance testing. The V-Model works best for small to medium projects with clearly defined requirements and available technical resources.
This document discusses agile software development. It begins with an agenda covering agile software development, the agile manifesto, what agility means, how agility reduces the cost of change, agile processes, and agile principles. It then defines agility as effectively responding to and communicating about change. An agile process is described as being driven by customer requirements, developing software iteratively, and delivering software increments while adapting to changes. The document concludes with 12 agile principles including satisfying customers, welcoming changing requirements, frequent delivery of working software, and continuous improvement.
This document discusses using JIRA and Greenhopper for agile development. It provides an overview of JIRA as an issue tracking platform that can be used for various purposes including project management, help desk support, and software development. It also discusses Greenhopper, an agile project management plugin for JIRA that includes planning, task, and chart boards. The document concludes by encouraging evaluation of JIRA and Greenhopper.
The document discusses software requirement specification and the requirement engineering process. It describes how requirements are elicited from stakeholders, analyzed for consistency and completeness, and specified in a requirements document. The key activities in requirements engineering include requirements elicitation, analysis, validation, and management, which are iterative processes.
Machen Tests der graphischen Oberfläche (GUI) überhaupt Sinn für mich? Wie wähle ich das richtige Tool aus? Welche Art von GUI-Tests möchte ich automatisieren? Diese und sieben weitere Fragen werden in dieser Präsentation beantwortet.
Here are the key steps to estimate the effort required to develop the stock control system using function point analysis:
1. Identify the 5 functional components - External Inputs, External Outputs, External Inquiries, External Interface Files, Internal Logic Files.
2. Classify each component as Simple, Average or Complex based on the description provided. For example, orders and payments would likely be Complex External Inputs.
3. Assign the appropriate weight (3, 4, 6 etc.) to each component based on its complexity.
4. Multiply each weight by its quantity to get component value.
5. Add up all component values to get the total function points of the system.
6. Use the function
Top 10 purchase engineer interview questions and answers
This document provides materials and advice for answering common interview questions for a purchase engineer position. It discusses 10 frequently asked interview questions, such as "Why do you want this job?", "What are your weaknesses?", and "Why should we hire you?". For each question, it gives examples of strong answers and tips on how to respond. The document also provides additional resources on interview preparation, including links to ebooks, articles, and websites with sample questions and answers.
This document provides an overview of embedded systems and real-time systems. It discusses topics such as embedded system design, architectural patterns, timing analysis, real-time operating systems, and reactive systems. Key aspects of embedded systems include their need to respond to external events in real-time, their use of cooperating processes controlled by a real-time executive, and constraints related to hardware interaction, safety, and reliability.
Electronic batch record management in pharmaceutical industry
The document discusses electronic batch record (EBR) systems in the pharmaceutical industry. It begins by explaining that pharmaceutical companies have traditionally used paper-based batch records but are now shifting to EBR systems to reduce paperwork. It then covers the benefits of EBR systems, such as improved accuracy, reduced costs and cycle times. The document also outlines four types of EBR systems - paper, document management, data collection and manufacturing execution - and discusses challenges in implementing EBR systems. It concludes that EBR systems can significantly reduce the burden of paperwork in pharmaceutical manufacturing.
This document provides an introduction to quality assurance in hospital management. It outlines four objectives: 1) defining quality, quality assurance, and total quality management; 2) explaining the core principles of total quality; 3) describing the competitive total quality infrastructure, practices, and tools; and 4) discussing the impact of quality on profitability. Key points include defining quality as meeting customer expectations, explaining that quality assurance ensures appropriate quality goods and services, and noting that total quality focuses on customer satisfaction and cost reduction through a systems approach.
The document discusses the function of software quality assurance (SQA). It outlines that SQA includes auditing, reviews, and process checks to enable independent reviews of work. It also requires knowledge of statistics, quality control principles, software processes, and dealing with people. Establishing an SQA function first requires deciding how important quality is versus schedules. It then ensures standards, procedures, reviews, documentation, change control, testing high-risk areas, and satisfying tasks before starting new ones. SQA enforces project and development standards, improving quality and cost-effectiveness. Its objectives are to improve quality through monitoring software and processes, ensuring compliance, and identifying inadequacies.
This lecture is about the detail definition of software quality and quality assurance. Provide details about software tesing and its types. Clear the basic concepts of software quality and software testing.
Quality, quality concepts
Software Quality Assurance
Software Reviews
Formal Technical Reviews
SQA Group Plan
ISO 9000, 9001
Example
Internal and external attributes
The document discusses software quality assurance. It covers key concepts like quality, quality control, quality assurance, cost of quality. It then discusses topics like software reviews, formal technical reviews, statistical quality assurance, and the SQA plan. The overall goal of software quality assurance is to achieve high-quality software products.
This document discusses software quality assurance. It defines software as computer programs, procedures, and documentation related to operating a computer system. Software quality is defined as meeting requirements and user needs/expectations. Quality factors include correctness, reliability, efficiency, integrity, usability, maintainability, flexibility, testability, portability, reusability, and interoperability. Software quality assurance is a planned set of actions to provide confidence that software development/maintenance conforms to requirements and schedules/budgets. The objectives of SQA are to assure acceptable confidence in conforming to functional/managerial requirements during development and maintenance. Three principles of QA are to know what is being done, know what should be done, and know how to
The document discusses software quality assurance (SQA) and defines key terms and concepts. It outlines the components of an SQA plan according to IEEE standard 730, including required sections, documentation to review, standards and metrics, and types of reviews. It also summarizes approaches to SQA from the Software Capability Maturity Model and the Rational Unified Process.
Software Quality Assurance involves planned actions to provide confidence that software products and processes meet requirements. It includes various testing activities at both the unit and system level. While testing cannot ensure perfect quality, it provides information to improve the software. There are several factors to consider when prioritizing which defects to address, as it is typically not feasible to fix all defects. Testers should provide severity data to help inform prioritization decisions made by other stakeholders.
The document provides information on software quality assurance and testing topics. It includes definitions of software quality assurance, differences between types of testing (static vs dynamic, client/server vs web applications), quality assurance activities, why testing cannot ensure quality, and more. FAQs cover topics such as prioritizing defects, establishing a QA process, and differences between QA and testing. The document is a collection of technical FAQs for software QA engineers and testers.
Software testing is an important phase of the software development process that evaluates the functionality and quality of a software application. It involves executing a program or system with the intent of finding errors. Some key points:
- Software testing is needed to identify defects, ensure customer satisfaction, and deliver high quality products with lower maintenance costs.
- It is important for different stakeholders like developers, testers, managers, and end users to work together throughout the testing process.
- There are various types of testing like unit testing, integration testing, system testing, and different methodologies like manual and automated testing. Proper documentation is also important.
- Testing helps improve the overall quality of software but can never prove that there
Software Testing Interview Questions For Experienced
The document discusses various topics related to software testing interviews for experienced testers. It covers reliability testing, handling bugs, challenges of thorough testing, testing without complete requirements, differences between retesting and regression testing, challenges of software testing, types of functional testing, and more. Key points made include that it is impossible to thoroughly test a program due to subjective requirements and too many inputs/paths, the importance of regression testing when modules are updated, and differences between bugs, defects, and errors.
This document provides an overview of software testing concepts. It discusses the meaning of software testing, the software testing lifecycle, and principles and techniques of software testing. The principles section explains 7 key principles such as that exhaustive testing is impossible and defects cluster in some modules. The techniques section describes manual testing approaches like walkthroughs and inspections, as well as automated testing types including correctness, performance, reliability, and security testing. The overall purpose is to introduce students to fundamental software testing concepts.
Methods of Software Testing There are two basic methods of performing software testing: 1. Manual testing 2. Automated testing Manual Software Testing As the name would imply, manual software testing is the process of an individual or individuals manually testing software. This can take the form of navigating user interfaces, submitting information, or even trying to hack the software or underlying database. As one might presume, manual software testing is labor-intensive and slow.
Testing is the process of evaluating a system or its components to identify differences between expected and actual results. It involves executing a system to identify gaps, errors, or missing requirements. There are different types of testing such as unit testing, integration testing, system testing, and acceptance testing. Testing can be manual, automated, functional, or non-functional. Functional testing evaluates system functionality while non-functional testing evaluates attributes like performance and security. Common non-functional test types are load testing and stress testing which analyze a system's behavior under different load conditions.
Testing is the process of evaluating a system or its components to identify errors or gaps between expected and actual results. It can be done manually or through automation. There are different types of testing like unit testing, integration testing, system testing, and acceptance testing. Testing also includes functional testing to check system requirements and non-functional testing to evaluate performance. Key aspects of testing include the software development life cycle (SDLC) and different models like waterfall, prototyping, incremental, spiral, and agile.
Testing is the process of evaluating a system or its component(s) with the intent to find whether it satisfies the specified requirements or not. In simple words, testing is executing a system in order to identify any gaps, errors, or missing requirements in contrary to the actual requirements.
Software Quality Assurance training by QuontraSolutions
Quontra Solutions provides QA training by Real time Industry experts. QA is having good demand in the market. Our QA online training Instructors are very much experienced and highly qualified and dedicated.
Our QA online training program is job oriented. After completion of QA training with us you should be able to work on any kind of project. After completion of QA online training our dedicated team will be supporting you.
This document discusses various types of software testing methods and strategies. It describes black box testing as treating software as a black box without knowledge of internal implementation. White box testing involves working with internal data structures and algorithms. Unit testing validates individual units of source code. The document outlines the aims, processes, advantages, and limitations of these different testing approaches.
This paper describes the different techniques of testing the software. This paper explicitly addresses the idea for testability and the important thing is that the testing itself-not just by saying that testability is a desirable goal, but by showing how to do it. Software testing is the process we used to measure the quality of developed software. Software Testing is not just about error-finding and their solution but also about checking the client requirements and testing that those requirements are met by the software solution. It is the most important functional phase in the Software Development Life Cycle(SDLC) as it exhibits all mistakes, flaws and errors in the developed software. Without finding these errors, technically termed as ‘bugs,’ software development is not considered to be complete. Hence, software testing becomes an important parameter for assuring quality of the software product. We discuss here about when to start and when to stop the testing of software. How errors or Bugs are formed and rectified. How software testing is done i.e. with the help of Team Work.
JIMS Vasant KunjII is the Top institute for BCA. JIMS is one of the Best BCA Colleges in Delhi which offers best placements in Top IT Companies in Delhi NCR. It is amongst the top A+ Category highest ranked colleges in Delhi, provides 3 years Regular Degree from UGC Approved University.
This unit of Software Testing is a part of BCA 5th sem syllabi.
Testing is the process of executing a program with the intention of finding errors. Software testing is an analysis that gives data to estimate quality and includes executing programs to find bugs. Testing is done by software testers, developers, project leads, and end users and includes both manual and automated methods. Functional testing examines a system's functionality against requirements while non-functional testing examines reliability, efficiency and other non-functional aspects.
This document provides an overview of software testing concepts including:
- Testing is the process of evaluating a system to find errors and ensure requirements are met. It is done by testers, developers and managers.
- There are different types of testing like unit, integration, system and acceptance testing which are done at different stages.
- Verification ensures functionality is built correctly while validation ensures the correct functionality is built. Quality assurance focuses on processes, quality control on testing, and testing identifies errors.
- Testing documentation includes test plans, scenarios, cases and traceability matrices to guide the testing process.
The document discusses various aspects of software testing including definitions, principles, activities, goals, teams, and perspectives. It defines software testing as the process of analyzing a software item to detect differences between existing and required conditions, known as bugs. Some key testing principles outlined include that test cases must include expected outputs and be written for both valid and invalid inputs. Testing activities discussed are planning, design, setup, execution, analysis and reporting, and management. The goals of testing are to ensure requirements, design, code, and resource quality. The document also discusses manual versus automated testing and different testing methods, stages, cases, types, and techniques for static testing.
Testing is the process of evaluating a system or its components to find whether it satisfies specified requirements. Testing is generally done by software testers, developers, project managers, and end users. There are different types of testing such as unit testing, integration testing, system testing, and acceptance testing. Testing is performed at various stages of the software development life cycle from requirements gathering to deployment. The goal of testing is to identify bugs, gaps, or missing requirements in the system.
This document provides an overview of software testing, including definitions, concepts, and types of testing. It discusses who performs testing, when testing should start and end, and the differences between verification and validation, testing and debugging, and other related terms. The document also covers testing myths, standards related to quality assurance and testing, and types of manual and automated testing. In summary:
- Software testing is the process of evaluating a system or component to identify issues and ensure it meets specified requirements. It is performed by testers, developers, project managers, and end users.
- Testing should start early and continue throughout the software development life cycle, though formal testing typically occurs later in phases like testing. There is no single
This document provides an overview of software testing, including definitions, concepts, and types of testing. It discusses who conducts testing, when it should start and end in the software development lifecycle, and differences between key terms like verification and validation. It also addresses common myths about testing and standards related to quality assurance and testing like ISO. The document covers manual and automation testing, as well as black box, white box, and grey box testing methods. It explains different levels of testing from unit to acceptance. It also discusses non-functional testing types and documentation for testing plans, scenarios, cases, and traceability matrices.
This document provides an overview of software testing, including definitions, concepts, and types of testing. It discusses what testing is, who conducts testing, and the differences between verification and validation, testing and debugging, and other related terms. It also covers testing myths, standards related to testing, and the different types of testing including manual testing and automation testing. Finally, it discusses testing methods like black box, white box, and grey box testing as well as different levels of testing from unit to acceptance testing and types of non-functional testing.
This document provides a list of 7 additional readings on software testing topics. The readings cover definitions of testing, graphical user interfaces, writing test cases, system checklists, software quality attributes, and white box testing. Getting familiar with these fundamental testing concepts will help improve testing skills and quality.
Verification ensures functionality is designed as specified through reviews and meetings, while validation ensures functionality meets requirements through testing. A walkthrough is an informal meeting to evaluate code paths, while an inspection is a more formal meeting to find problems in documents. Quality depends on perspective but generally means software is bug-free, on time, meets requirements, and is maintainable. Common problems in software development include unclear requirements, unrealistic schedules, inadequate testing, changing requirements, and poor communication.
This document lists several useful websites for software testing including www.onestoptesting.com, www.softwaretestinghelp.com, www.istqb.org, www.sqatester.com, www.testingfaqs.org, www.geekinterview.com, and www.softwaretestingquestions.com. These websites provide resources for software testing help, international software testing qualifications, testing forums and communities, frequently asked questions about testing, and practice questions for testing interviews.
A bug is an unexpected behavior in software that hinders its functionality. Test cases are used to find bugs by executing steps and observing outputs. When a bug is found, it is reported to developers and tracked through statuses like new, assigned, open, fixed, and closed as developers work to resolve it. Statuses indicate whether a bug is being investigated, in progress, fixed, or resolved.
Black box testing tests the functionality of software without knowledge of its internal structure or design. It is performed by testers and clients to test the software from an end user's perspective. There are various techniques used in black box testing including equivalence partitioning, boundary value analysis, and error guessing.
The document discusses various types and techniques of software testing. It defines software testing as the process of executing a program to find errors. It describes different levels of testing like unit testing, integration testing, system testing etc. It explains black box and white box testing strategies and techniques for designing test cases like equivalence partitioning, boundary value analysis, cause-effect graphing etc. It also discusses limitations of testing and challenges in achieving complete testing.
1) Software testing is important because early software projects often failed due to poor software engineering practices and a lack of established standards. This led to a "software crisis" in the 1960s and 1970s.
2) A defined software development process can help avoid failures by improving predictability, managing risks, and ensuring best practices are followed. However, processes must also be adaptive to changing needs.
3) Both effective processes and good human resource planning are needed, as human factors have a large impact on project outcomes. Proper requirements identification is also key to addressing software engineering issues.
This document provides an overview of software testing and the software development life cycle. It discusses the importance of testing in finding bugs and ensuring quality. The document outlines traditional and commonly used software development life cycles, emphasizing the inclusion of testing at all phases for improved defect detection and cost reduction. Key aspects of requirements analysis, design, development, and maintenance are defined. Principles of testing such as defining expected outputs and testing invalid conditions are also covered.
This document provides an overview of various types of software testing including white box testing, black box testing, unit testing, integration testing, performance testing, stress testing, security testing, usability testing, stability testing, acceptance testing, installation testing, alpha testing, beta testing, product testing, system testing, regression testing, compatibility testing, test cases, scripts and scenarios, defect tracking, formal verification, fuzz testing, and manual testing. It discusses the purpose, benefits, and limitations of different testing techniques. It also provides examples of tools used for various types of testing.
論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...
Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023
https://arxiv.org/abs/2307.12980
Advanced Techniques for Cyber Security Analysis and Anomaly Detection
Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.
Quality Patents: Patents That Stand the Test of Time
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
How RPA Help in the Transportation and Logistics Industry.pptx
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-In
Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk.
What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year?
Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year.
This webinar will review:
- Key changes to privacy regulations in 2024
- Key themes in privacy and data governance in 2024
- How to maximize your privacy program in the second half of 2024
Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...
Today’s digitally connected world presents a wide range of security challenges for enterprises. Insider security threats are particularly noteworthy because they have the potential to cause significant harm. Unlike external threats, insider risks originate from within the company, making them more subtle and challenging to identify. This blog aims to provide a comprehensive understanding of insider security threats, including their types, examples, effects, and mitigation techniques.
A practical approach to documentation. A PRD (Product Requirement Document) template for both B2B and B2C products. This works well for startups beyond the early stage of product development and for enterprises creating products.
Business requirements gathering and analysisMena M. Eissa
Business analysis and requirements management are a key to project success.
This workshop helps candidates perform better based on sharing real life experience with them.
The document discusses verification and validation (V&V) in software engineering. It defines verification as ensuring a product is built correctly, and validation as ensuring the right product is built. V&V aims to discover defects and assess if a system is usable. Static and dynamic verification methods are covered, including inspections, testing, and automated analysis. The document outlines V&V goals, the debugging process, V-model development, test planning, and inspection techniques.
This document discusses various performance testing methodologies. It begins by introducing performance testing as a subset of performance engineering aimed at building performance into a system's design. The document then describes different types of performance testing including load testing, stress testing, endurance/soak testing, spike testing, and configuration testing. It emphasizes that performance testing validates attributes like scalability and resource usage under various loads.
Writing Test Cases From User Stories And Acceptance CriteriaHoa Le
The acceptance criteria provides the majority of what needs to be tested from the user story. To achieve maximum test coverage, time should be taken to consider the workflow, boundaries, and negative scenarios based on the acceptance criteria. Writing test cases in this way can help identify requirement gaps, prevent code re-work, and save the entire team from unnecessary headaches by ensuring the test cases remain up-to-date and address all aspects of the user story.
Requirements validation certifies that the requirements document accurately describes the system to be built. It checks for completeness, consistency, standards compliance, and technical errors. Validation analyzes the final requirements document, while analysis works with initial requirements. Validation inputs include the requirements document and organizational standards. Outputs are a problem list and agreed actions. Requirements reviews involve analyzing the document for problems, discussing issues, and agreeing on solutions. Validation techniques include reviews, prototyping, modeling, and testing.
This document discusses quality metrics and their importance in measuring and improving pharmaceutical quality. It defines quality metrics as standards used to assess efficiency, performance, and quality. Quality metrics help ensure what is measured gets recorded, monitored, controlled, and improved. The document outlines key quality metrics like batch acceptance rate, product complaint rate, and invalid OOS rate. It also discusses FDA's guidance around voluntary submission of quality metrics data and the benefits this can provide manufacturers. Overall quality metrics are presented as an important tool for continual improvement and assurance of patient safety.
A traceability matrix traces requirements to tests, code, and design specifications. It provides backward traceability from tests to requirements and forward traceability from requirements to tests and code. The matrix links high-level requirements to lower-level tests, design documents, and code files. This allows one to ensure all requirements are tested, identify untested requirements, and determine which tests need updating when requirements change.
The document discusses different perspectives on requirements engineering (RE) processes:
(1) RE can be viewed as part of the larger systems engineering process involving system requirements, architectural design, integration, and validation;
(2) RE involves eliciting, analyzing, documenting, and validating requirements as part of the system acquisition and design processes in an iterative spiral manner;
(3) The inputs to RE include stakeholder needs, existing systems information, and standards, and the outputs include the system specification and models.
The document provides an overview of an SQA workshop on quality and process concepts. It discusses quality models, the SQA role, and audit systems. Key topics covered include quality definitions, quality gurus, total quality management, process management, industry quality models like ISO 9001 and CMMI, quality system elements, and the purpose and types of audits.
The V-Model is a software development lifecycle model where each phase of the development process is verified by an opposing phase of testing. It follows a sequential design process like the waterfall model. The V-Model contains verification phases on one side and validation phases on the other side joined by the coding phase in a V-shape. Each phase of the verification side plans testing for the corresponding development phase on the validation side. This includes unit testing, integration testing, system testing, and acceptance testing. The V-Model works best for small to medium projects with clearly defined requirements and available technical resources.
This document discusses agile software development. It begins with an agenda covering agile software development, the agile manifesto, what agility means, how agility reduces the cost of change, agile processes, and agile principles. It then defines agility as effectively responding to and communicating about change. An agile process is described as being driven by customer requirements, developing software iteratively, and delivering software increments while adapting to changes. The document concludes with 12 agile principles including satisfying customers, welcoming changing requirements, frequent delivery of working software, and continuous improvement.
Using JIRA & Greenhopper for Agile DevelopmentJeff Leyser
This document discusses using JIRA and Greenhopper for agile development. It provides an overview of JIRA as an issue tracking platform that can be used for various purposes including project management, help desk support, and software development. It also discusses Greenhopper, an agile project management plugin for JIRA that includes planning, task, and chart boards. The document concludes by encouraging evaluation of JIRA and Greenhopper.
The document discusses software requirement specification and the requirement engineering process. It describes how requirements are elicited from stakeholders, analyzed for consistency and completeness, and specified in a requirements document. The key activities in requirements engineering include requirements elicitation, analysis, validation, and management, which are iterative processes.
Machen Tests der graphischen Oberfläche (GUI) überhaupt Sinn für mich? Wie wähle ich das richtige Tool aus? Welche Art von GUI-Tests möchte ich automatisieren? Diese und sieben weitere Fragen werden in dieser Präsentation beantwortet.
Here are the key steps to estimate the effort required to develop the stock control system using function point analysis:
1. Identify the 5 functional components - External Inputs, External Outputs, External Inquiries, External Interface Files, Internal Logic Files.
2. Classify each component as Simple, Average or Complex based on the description provided. For example, orders and payments would likely be Complex External Inputs.
3. Assign the appropriate weight (3, 4, 6 etc.) to each component based on its complexity.
4. Multiply each weight by its quantity to get component value.
5. Add up all component values to get the total function points of the system.
6. Use the function
Top 10 purchase engineer interview questions and answerstonychoper2706
This document provides materials and advice for answering common interview questions for a purchase engineer position. It discusses 10 frequently asked interview questions, such as "Why do you want this job?", "What are your weaknesses?", and "Why should we hire you?". For each question, it gives examples of strong answers and tips on how to respond. The document also provides additional resources on interview preparation, including links to ebooks, articles, and websites with sample questions and answers.
This document provides an overview of embedded systems and real-time systems. It discusses topics such as embedded system design, architectural patterns, timing analysis, real-time operating systems, and reactive systems. Key aspects of embedded systems include their need to respond to external events in real-time, their use of cooperating processes controlled by a real-time executive, and constraints related to hardware interaction, safety, and reliability.
Electronic batch record management in pharmaceutical industrysadhish jain
The document discusses electronic batch record (EBR) systems in the pharmaceutical industry. It begins by explaining that pharmaceutical companies have traditionally used paper-based batch records but are now shifting to EBR systems to reduce paperwork. It then covers the benefits of EBR systems, such as improved accuracy, reduced costs and cycle times. The document also outlines four types of EBR systems - paper, document management, data collection and manufacturing execution - and discusses challenges in implementing EBR systems. It concludes that EBR systems can significantly reduce the burden of paperwork in pharmaceutical manufacturing.
This document provides an introduction to quality assurance in hospital management. It outlines four objectives: 1) defining quality, quality assurance, and total quality management; 2) explaining the core principles of total quality; 3) describing the competitive total quality infrastructure, practices, and tools; and 4) discussing the impact of quality on profitability. Key points include defining quality as meeting customer expectations, explaining that quality assurance ensures appropriate quality goods and services, and noting that total quality focuses on customer satisfaction and cost reduction through a systems approach.
Function of software quality assurance lecture 2Abdul Basit
The document discusses the function of software quality assurance (SQA). It outlines that SQA includes auditing, reviews, and process checks to enable independent reviews of work. It also requires knowledge of statistics, quality control principles, software processes, and dealing with people. Establishing an SQA function first requires deciding how important quality is versus schedules. It then ensures standards, procedures, reviews, documentation, change control, testing high-risk areas, and satisfying tasks before starting new ones. SQA enforces project and development standards, improving quality and cost-effectiveness. Its objectives are to improve quality through monitoring software and processes, ensuring compliance, and identifying inadequacies.
This lecture is about the detail definition of software quality and quality assurance. Provide details about software tesing and its types. Clear the basic concepts of software quality and software testing.
Quality, quality concepts
Software Quality Assurance
Software Reviews
Formal Technical Reviews
SQA Group Plan
ISO 9000, 9001
Example
Internal and external attributes
The document discusses software quality assurance. It covers key concepts like quality, quality control, quality assurance, cost of quality. It then discusses topics like software reviews, formal technical reviews, statistical quality assurance, and the SQA plan. The overall goal of software quality assurance is to achieve high-quality software products.
This document discusses software quality assurance. It defines software as computer programs, procedures, and documentation related to operating a computer system. Software quality is defined as meeting requirements and user needs/expectations. Quality factors include correctness, reliability, efficiency, integrity, usability, maintainability, flexibility, testability, portability, reusability, and interoperability. Software quality assurance is a planned set of actions to provide confidence that software development/maintenance conforms to requirements and schedules/budgets. The objectives of SQA are to assure acceptable confidence in conforming to functional/managerial requirements during development and maintenance. Three principles of QA are to know what is being done, know what should be done, and know how to
Introduction To Software Quality Assuranceruth_reategui
The document discusses software quality assurance (SQA) and defines key terms and concepts. It outlines the components of an SQA plan according to IEEE standard 730, including required sections, documentation to review, standards and metrics, and types of reviews. It also summarizes approaches to SQA from the Software Capability Maturity Model and the Rational Unified Process.
Software Quality Assurance involves planned actions to provide confidence that software products and processes meet requirements. It includes various testing activities at both the unit and system level. While testing cannot ensure perfect quality, it provides information to improve the software. There are several factors to consider when prioritizing which defects to address, as it is typically not feasible to fix all defects. Testers should provide severity data to help inform prioritization decisions made by other stakeholders.
The document provides information on software quality assurance and testing topics. It includes definitions of software quality assurance, differences between types of testing (static vs dynamic, client/server vs web applications), quality assurance activities, why testing cannot ensure quality, and more. FAQs cover topics such as prioritizing defects, establishing a QA process, and differences between QA and testing. The document is a collection of technical FAQs for software QA engineers and testers.
Software testing is an important phase of the software development process that evaluates the functionality and quality of a software application. It involves executing a program or system with the intent of finding errors. Some key points:
- Software testing is needed to identify defects, ensure customer satisfaction, and deliver high quality products with lower maintenance costs.
- It is important for different stakeholders like developers, testers, managers, and end users to work together throughout the testing process.
- There are various types of testing like unit testing, integration testing, system testing, and different methodologies like manual and automated testing. Proper documentation is also important.
- Testing helps improve the overall quality of software but can never prove that there
Software Testing Interview Questions For Experiencedzynofustechnology
The document discusses various topics related to software testing interviews for experienced testers. It covers reliability testing, handling bugs, challenges of thorough testing, testing without complete requirements, differences between retesting and regression testing, challenges of software testing, types of functional testing, and more. Key points made include that it is impossible to thoroughly test a program due to subjective requirements and too many inputs/paths, the importance of regression testing when modules are updated, and differences between bugs, defects, and errors.
This document provides an overview of software testing concepts. It discusses the meaning of software testing, the software testing lifecycle, and principles and techniques of software testing. The principles section explains 7 key principles such as that exhaustive testing is impossible and defects cluster in some modules. The techniques section describes manual testing approaches like walkthroughs and inspections, as well as automated testing types including correctness, performance, reliability, and security testing. The overall purpose is to introduce students to fundamental software testing concepts.
Software testing for project report .pdfKamal Acharya
Methods of Software Testing There are two basic methods of performing software testing: 1. Manual testing 2. Automated testing Manual Software Testing As the name would imply, manual software testing is the process of an individual or individuals manually testing software. This can take the form of navigating user interfaces, submitting information, or even trying to hack the software or underlying database. As one might presume, manual software testing is labor-intensive and slow.
Testing is the process of evaluating a system or its components to identify differences between expected and actual results. It involves executing a system to identify gaps, errors, or missing requirements. There are different types of testing such as unit testing, integration testing, system testing, and acceptance testing. Testing can be manual, automated, functional, or non-functional. Functional testing evaluates system functionality while non-functional testing evaluates attributes like performance and security. Common non-functional test types are load testing and stress testing which analyze a system's behavior under different load conditions.
Testing is the process of evaluating a system or its components to identify errors or gaps between expected and actual results. It can be done manually or through automation. There are different types of testing like unit testing, integration testing, system testing, and acceptance testing. Testing also includes functional testing to check system requirements and non-functional testing to evaluate performance. Key aspects of testing include the software development life cycle (SDLC) and different models like waterfall, prototyping, incremental, spiral, and agile.
Testing is the process of evaluating a system or its component(s) with the intent to find whether it satisfies the specified requirements or not. In simple words, testing is executing a system in order to identify any gaps, errors, or missing requirements in contrary to the actual requirements.
Software Quality Assurance training by QuontraSolutionsQUONTRASOLUTIONS
Quontra Solutions provides QA training by Real time Industry experts. QA is having good demand in the market. Our QA online training Instructors are very much experienced and highly qualified and dedicated.
Our QA online training program is job oriented. After completion of QA training with us you should be able to work on any kind of project. After completion of QA online training our dedicated team will be supporting you.
This document discusses various types of software testing methods and strategies. It describes black box testing as treating software as a black box without knowledge of internal implementation. White box testing involves working with internal data structures and algorithms. Unit testing validates individual units of source code. The document outlines the aims, processes, advantages, and limitations of these different testing approaches.
This paper describes the different techniques of testing the software. This paper explicitly addresses the idea for testability and the important thing is that the testing itself-not just by saying that testability is a desirable goal, but by showing how to do it. Software testing is the process we used to measure the quality of developed software. Software Testing is not just about error-finding and their solution but also about checking the client requirements and testing that those requirements are met by the software solution. It is the most important functional phase in the Software Development Life Cycle(SDLC) as it exhibits all mistakes, flaws and errors in the developed software. Without finding these errors, technically termed as ‘bugs,’ software development is not considered to be complete. Hence, software testing becomes an important parameter for assuring quality of the software product. We discuss here about when to start and when to stop the testing of software. How errors or Bugs are formed and rectified. How software testing is done i.e. with the help of Team Work.
JIMS Vasant KunjII is the Top institute for BCA. JIMS is one of the Best BCA Colleges in Delhi which offers best placements in Top IT Companies in Delhi NCR. It is amongst the top A+ Category highest ranked colleges in Delhi, provides 3 years Regular Degree from UGC Approved University.
This unit of Software Testing is a part of BCA 5th sem syllabi.
Testing is the process of executing a program with the intention of finding errors. Software testing is an analysis that gives data to estimate quality and includes executing programs to find bugs. Testing is done by software testers, developers, project leads, and end users and includes both manual and automated methods. Functional testing examines a system's functionality against requirements while non-functional testing examines reliability, efficiency and other non-functional aspects.
This document provides an overview of software testing concepts including:
- Testing is the process of evaluating a system to find errors and ensure requirements are met. It is done by testers, developers and managers.
- There are different types of testing like unit, integration, system and acceptance testing which are done at different stages.
- Verification ensures functionality is built correctly while validation ensures the correct functionality is built. Quality assurance focuses on processes, quality control on testing, and testing identifies errors.
- Testing documentation includes test plans, scenarios, cases and traceability matrices to guide the testing process.
The document discusses various aspects of software testing including definitions, principles, activities, goals, teams, and perspectives. It defines software testing as the process of analyzing a software item to detect differences between existing and required conditions, known as bugs. Some key testing principles outlined include that test cases must include expected outputs and be written for both valid and invalid inputs. Testing activities discussed are planning, design, setup, execution, analysis and reporting, and management. The goals of testing are to ensure requirements, design, code, and resource quality. The document also discusses manual versus automated testing and different testing methods, stages, cases, types, and techniques for static testing.
Testing is the process of evaluating a system or its components to find whether it satisfies specified requirements. Testing is generally done by software testers, developers, project managers, and end users. There are different types of testing such as unit testing, integration testing, system testing, and acceptance testing. Testing is performed at various stages of the software development life cycle from requirements gathering to deployment. The goal of testing is to identify bugs, gaps, or missing requirements in the system.
This document provides an overview of software testing, including definitions, concepts, and types of testing. It discusses who performs testing, when testing should start and end, and the differences between verification and validation, testing and debugging, and other related terms. The document also covers testing myths, standards related to quality assurance and testing, and types of manual and automated testing. In summary:
- Software testing is the process of evaluating a system or component to identify issues and ensure it meets specified requirements. It is performed by testers, developers, project managers, and end users.
- Testing should start early and continue throughout the software development life cycle, though formal testing typically occurs later in phases like testing. There is no single
This document provides an overview of software testing, including definitions, concepts, and types of testing. It discusses who conducts testing, when it should start and end in the software development lifecycle, and differences between key terms like verification and validation. It also addresses common myths about testing and standards related to quality assurance and testing like ISO. The document covers manual and automation testing, as well as black box, white box, and grey box testing methods. It explains different levels of testing from unit to acceptance. It also discusses non-functional testing types and documentation for testing plans, scenarios, cases, and traceability matrices.
This document provides an overview of software testing, including definitions, concepts, and types of testing. It discusses what testing is, who conducts testing, and the differences between verification and validation, testing and debugging, and other related terms. It also covers testing myths, standards related to testing, and the different types of testing including manual testing and automation testing. Finally, it discusses testing methods like black box, white box, and grey box testing as well as different levels of testing from unit to acceptance testing and types of non-functional testing.
This document provides a list of 7 additional readings on software testing topics. The readings cover definitions of testing, graphical user interfaces, writing test cases, system checklists, software quality attributes, and white box testing. Getting familiar with these fundamental testing concepts will help improve testing skills and quality.
Verification ensures functionality is designed as specified through reviews and meetings, while validation ensures functionality meets requirements through testing. A walkthrough is an informal meeting to evaluate code paths, while an inspection is a more formal meeting to find problems in documents. Quality depends on perspective but generally means software is bug-free, on time, meets requirements, and is maintainable. Common problems in software development include unclear requirements, unrealistic schedules, inadequate testing, changing requirements, and poor communication.
This document lists several useful websites for software testing including www.onestoptesting.com, www.softwaretestinghelp.com, www.istqb.org, www.sqatester.com, www.testingfaqs.org, www.geekinterview.com, and www.softwaretestingquestions.com. These websites provide resources for software testing help, international software testing qualifications, testing forums and communities, frequently asked questions about testing, and practice questions for testing interviews.
A bug is an unexpected behavior in software that hinders its functionality. Test cases are used to find bugs by executing steps and observing outputs. When a bug is found, it is reported to developers and tracked through statuses like new, assigned, open, fixed, and closed as developers work to resolve it. Statuses indicate whether a bug is being investigated, in progress, fixed, or resolved.
Black box testing tests the functionality of software without knowledge of its internal structure or design. It is performed by testers and clients to test the software from an end user's perspective. There are various techniques used in black box testing including equivalence partitioning, boundary value analysis, and error guessing.
The document discusses various types and techniques of software testing. It defines software testing as the process of executing a program to find errors. It describes different levels of testing like unit testing, integration testing, system testing etc. It explains black box and white box testing strategies and techniques for designing test cases like equivalence partitioning, boundary value analysis, cause-effect graphing etc. It also discusses limitations of testing and challenges in achieving complete testing.
1) Software testing is important because early software projects often failed due to poor software engineering practices and a lack of established standards. This led to a "software crisis" in the 1960s and 1970s.
2) A defined software development process can help avoid failures by improving predictability, managing risks, and ensuring best practices are followed. However, processes must also be adaptive to changing needs.
3) Both effective processes and good human resource planning are needed, as human factors have a large impact on project outcomes. Proper requirements identification is also key to addressing software engineering issues.
This document provides an overview of software testing and the software development life cycle. It discusses the importance of testing in finding bugs and ensuring quality. The document outlines traditional and commonly used software development life cycles, emphasizing the inclusion of testing at all phases for improved defect detection and cost reduction. Key aspects of requirements analysis, design, development, and maintenance are defined. Principles of testing such as defining expected outputs and testing invalid conditions are also covered.
This document provides an overview of various types of software testing including white box testing, black box testing, unit testing, integration testing, performance testing, stress testing, security testing, usability testing, stability testing, acceptance testing, installation testing, alpha testing, beta testing, product testing, system testing, regression testing, compatibility testing, test cases, scripts and scenarios, defect tracking, formal verification, fuzz testing, and manual testing. It discusses the purpose, benefits, and limitations of different testing techniques. It also provides examples of tools used for various types of testing.
論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...Toru Tamaki
Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023
https://arxiv.org/abs/2307.12980
Advanced Techniques for Cyber Security Analysis and Anomaly DetectionBert Blevins
Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-InTrustArc
Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk.
What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year?
Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year.
This webinar will review:
- Key changes to privacy regulations in 2024
- Key themes in privacy and data governance in 2024
- How to maximize your privacy program in the second half of 2024
Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...Bert Blevins
Today’s digitally connected world presents a wide range of security challenges for enterprises. Insider security threats are particularly noteworthy because they have the potential to cause significant harm. Unlike external threats, insider risks originate from within the company, making them more subtle and challenging to identify. This blog aims to provide a comprehensive understanding of insider security threats, including their types, examples, effects, and mitigation techniques.
INDIAN AIR FORCE FIGHTER PLANES LIST.pdfjackson110191
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
How Social Media Hackers Help You to See Your Wife's Message.pdfHackersList
In the modern digital era, social media platforms have become integral to our daily lives. These platforms, including Facebook, Instagram, WhatsApp, and Snapchat, offer countless ways to connect, share, and communicate.
Coordinate Systems in FME 101 - Webinar SlidesSafe Software
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Mitigating the Impact of State Management in Cloud Stream Processing SystemsScyllaDB
Stream processing is a crucial component of modern data infrastructure, but constructing an efficient and scalable stream processing system can be challenging. Decoupling compute and storage architecture has emerged as an effective solution to these challenges, but it can introduce high latency issues, especially when dealing with complex continuous queries that necessitate managing extra-large internal states.
In this talk, we focus on addressing the high latency issues associated with S3 storage in stream processing systems that employ a decoupled compute and storage architecture. We delve into the root causes of latency in this context and explore various techniques to minimize the impact of S3 latency on stream processing performance. Our proposed approach is to implement a tiered storage mechanism that leverages a blend of high-performance and low-cost storage tiers to reduce data movement between the compute and storage layers while maintaining efficient processing.
Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Support en anglais diffusé lors de l'événement 100% IA organisé dans les locaux parisiens d'Iguane Solutions, le mardi 2 juillet 2024 :
- Présentation de notre plateforme IA plug and play : ses fonctionnalités avancées, telles que son interface utilisateur intuitive, son copilot puissant et des outils de monitoring performants.
- REX client : Cyril Janssens, CTO d’ easybourse, partage son expérience d’utilisation de notre plateforme IA plug & play.
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...Chris Swan
Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge.
You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.
1. Software Quality Assurance
(1) A planned and systematic pattern of all actions necessary to provide adequate confidence that an item or
product conforms to established technical requirements.
(2) A set of activities designed to evaluate the process by which products are developed or manufactured.
What's difference between client/server and Web Application ?
Client/server based is any application architecture where one server application and one or many client
applications are involved like your mail server and MS outlook Express, it can be a web application as
well, where the Web Application is a kind of client server application that is hosted on the web server and
accessed over the internet or interanet. There are lots of things that differs between testing of the two type
above and cann't be posted in one post but you can look into the data flow, communication and servside
variable like session and security etc
Software Quality Assurance Activities
Application of Technical Methods (Employing proper methods and tools for developing software)
Conduct of Formal Technical Review (FTR)
Testing of Software
Enforcement of Standards (Customer imposed standards or management imposed standards)
Control of Change (Assess the need for change, document the change)
Measurement (Software Metrics to measure the quality, quantifiable)
Records Keeping and Recording (Documentation, reviewed, change control etc. i.e. benefits of
docs).
What's the difference between STATIC TESTING and DYNAMIC TESTING?
Answer1:
Dynamic testing: Required program to be executed
static testing: Does not involve program execution
The program is run on some test cases & results of the program’s performance are examined to check
whether the program operated as expected
E.g. Compiler task such as Syntax & type checking, symbolic execution, program proving, data flow
analysis, control flow analysis
Answer2:
Static Testing: Verification performed with out executing the system code
Dynamic Testing: Verification and validation performed by executing the system code
Software Testing
Software testing is a critical component of the software engineering process. It is an element of software
quality assurance and can be described as a process of running a program in such a manner as to uncover
any errors. This process, while seen by some as tedious, tiresome and unnecessary, plays a vital role in
software development.
Testing involves operation of a system or application under controlled conditions and evaluating the results
(eg, 'if the user is in interface A of the application while using hardware B, and does C, then D should
2. happen'). The controlled conditions should include both normal and abnormal conditions. Testing should
intentionally attempt to make things go wrong to determine if things happen when they shouldn't or things
don't happen when they should. It is oriented to 'detection'.
Organizations vary considerably in how they assign responsibility for QA and testing. Sometimes they're
the combined responsibility of one group or individual. Also common are project teams that include a mix
of testers and developers who work closely together, with overall QA processes monitored by project
managers. It will depend on what best fits an organization's size and business structure.
What's difference between QA/testing
The quality assurance
process is a process for providing adequate assurance that the software products and processes in the
product life cycle conform to their specific requirements and adhere to their established plans.quot;
The purpose of Software Quality Assurance is to provide management with appropriate visibility into the
process being used by the software project and of the products being built
What black box testing types can you tell me about?
Black box testing is functional testing, not based on any knowledge of internal software design or code.
Black box testing is based on requirements and functionality. Functional testing is also a black-box type of
testing geared to functional requirements of an application.
System testing is also a black box type of testing. Acceptance testing is also a black box type of testing.
Functional testing is also a black box type of testing. Closed box testing is also a black box type of testing.
Integration testing is also a black box type of testing.
What is software testing methodology?
One software testing methodology is the use a three step process of...
1. Creating a test strategy;
2. Creating a test plan/design; and
3. Executing tests. This methodology can be used and molded to your organization's needs. Rob Davis
believes that using this methodology is important in the development and ongoing maintenance of his
clients' applications.
What’s the difference between QA and testing?
TESTING means “Quality Control”; and
QUALITY CONTROL measures the quality of a product; while
QUALITY ASSURANCE measures the quality of processes used to create a quality product.
Why Testing CANNOT Ensure Quality
Testing in itself cannot ensure the quality of software. All testing can do is give you a certain level of
assurance (confidence) in the software. On its own, the only thing that testing proves is that under specific
controlled conditions, the software functioned as expected by the test cases executed.
3. How to find all the Bugs during first round of Testing?
Answer1:
I understand the problems you are facing. I was involved with a web-based HR system that was
encountering the same problems. What I ended up doing was going back over a few release cycles and
analyzing the types of defects found and when (in the release cycle including the various testing cycles)
they were found. I started to notice a distinct trend in certain areas.
For each defect type, I started looking into the possibility if it could have been caught in the prior phase
(lots of things were being found in the Systems test phase that should have been caught earlier). If so, why
wasn't it caught? Could it have been caught even earlier (say via a peer review)? If so, why not? This led
me to start examining the various processes and found a definite problem with peer reviews (not very
thorough IF they were even being done) and with the testing process (not rigorous enough). We worked
with the customer and folks doing the testing to start educating them and improving the processes. The
result was the number of defects found in the latter test stages (System test for example) were cut by over
half! It was getting harder to find problems with the product as they were discovering them earlier in the
process -- saving time & money!
Answer2:
There could be several reasons for not catching a showstopper in the first or second build/rev. A found
defect could either functionally or physiologically mask a second or third defect. Functionally the thread or
path to the second defect could have been boken or rerouted to another path or physiologically the tester
who found the first defect knows the app must go back and be rewritten so he/she procedes halfheartedly
on and misses the second one. I've seen both cases. It is difficult to keep testing on a known defective app.
The testers seem to lose interest knowing that what effort they put in to test it, will have to be redone on the
next iteration. This will test your metal as a lead to get them to follow through and maintain a professional
attitude.
Answer3:
The best way is to prevent bugs in the first place. Also testing doesn't fix or prevent bugs. It just provides
information. Applying this information to your situation is the important part.
The other thing that you may be encountering is that testing tends to be exploratory in nature. You have
stated that these are existing bugs, but not stated whether tests already existed for these bugs.
Bugs in early cycles inhibit exploration. Additionally, a tester's understanding of the application and its
relationships and interactions will improve with time and thus more 'interesting' bugs tend to be found in
later iterations as testers expand their exploration (ie. think of new tests).
No matter how much time you have to read through the documents and inspect artefacts, seeing the actual
application is going to trigger new thoughts, and thus introduce previously unthought of tests. Exposure to
the application will trigger new thoughts as well, thus the longer your testing goes, the more new tests (and
potential bugs) are going to be found. Iterative development is a good way to counter this, as testers get to
see something physical earlier, but this issue will always exist to some degree as the passing of time, and
exploration of the application allow new tests to be thought of at inconvenient moments.
Is regression testing performed manually?
The answer to this question depends on the initial testing approach. If the initial testing approach was
manual testing, then the regression testing is usually performed manually. Conversely, if the initial testing
approach was automated testing, then the regression testing is usually performed by automated testing.
How to choose which defect to remove in 1000000 defects? (because It will take too much resources in
order to remove them all.)
Answe1:
Are you the programmer who has to fix them, the project manager who has to supervise the programmers,
4. the change control team that decides which areas are too high risk to impact, the stakeholder-user whose
organization pays for the damage caused by the defects or the tester?
The tester does not choose which defects to fix.
The tester helps ensure that the people who do choose, make a well-informed choice.
Testers should provide data to indicate the *severity* of bugs, but the project manager or the development
team do the prioritization.
When I say quot;indicate the severityquot;, I don't just mean writing S3 on a piece of paper. Test groups often do
follow-up tests to assess how serious a failure is and how broad the range of failure-triggering conditions.
Priority depends on a wide range of factors, including code-change risk, difficulty/time to complete the
change, which stakeholders are affected by the bug, the other commitments being handled by the person
most knowledgeable about fixing a certain bug, etc. Many of these factors are not within the knowledge of
most test groups.
Answe2:
As a tester we don't fix the defects but we surely can prioritize them once detected. In our org we assign
severity level to the defects depending upon their influence on other parts of products. If a defect doesnt
allow you to go ahead and test test the product, it is critical one so it has to be fixed ASAP. We have 5
levels as
1-critical
2-High
3-Medium
4-Low
5-Cosmetic
Dev can group all the critical ones and take them to fix before any other defect.
Answer3:
Priority/Severity P1 P2 P3
S1
S2
S3
Generally the defects are classified in aboveshown grid. Every organization / software has some target of
fixing the bugs.
Example -
P1S1 -> 90% of the bugs reported should be fixed.
P3S3 -> 5% of the bugs reported may be fixed. Rest are taken in letter service packs or versions.
Thus the organization should decide its target and act accordingly.
Basically bugfree software is not possible.
Answer4:
Ideally, the customer should assign priorities to their requirements. They tend to resist this. On a large,
multi-year project I just completed, I would often (in the lack of customer guidelines) rely on my
knowledge of the application and the potential downstream impacts in the modeled business process to
prioritize defects.
If the customer doesn't then I fell the test organization should based on risk or other, similar considerations.
What is software quality?
The quality of the software varies widely from system to system. Some common quality attributes are
stability, usability, reliability, portability, and maintainability.
5. What are the five dimensions of the Risks?
Schedule: Unrealistic schedules, exclusion of certain activities when chalking out a schedule etc. could be
deterrents to project delivery on time. Unstable communication link can be considered as a probable risk if
testing is carried out from a remote location.
Client: Ambiguous requirements definition, clarifications on issues not being readily available, frequent
changes to the requirements etc. could cause chaos during project execution.
Human Resources: Non-availability of sufficient resources with the skill level expected in the project are
not available; Attrition of resources - Appropriate training schedules must be planned for resources to
balance the knowledge level to be at par with resources quitting. Underestimating the training effort may
have an impact in the project delivery.
System Resources: Non-availability of /delay in procuring all critical computer resources either hardware
and software tools or licenses for software will have an adverse impact.
Quality: Compound factors like lack of resources along with a tight delivery schedule and frequent changes
to requirements will have an impact on the quality of the product tested.
What is good code?
A good code is code that works, is free of bugs and is readable and maintainable. Organizations usually
have coding standards all developers should adhere to, but every programmer and software engineer has
different ideas about what is best and what are too many or too few rules. We need to keep in mind that
excessive use of rules can stifle both productivity and creativity. Peer reviews and code analysis tools can
be used to check for problems and enforce standards.
How do you perform integration testing?
To perform integration testing, first, all unit testing has to be completed. Upon completion of unit testing,
integration testing begins. Integration testing is black box testing. The purpose of integration testing is to
ensure distinct components of the application still work in accordance to customer requirements. Test cases
are developed with the express purpose of exercising the interfaces between the components. This activity
is carried out by the test team.
Integration testing is considered complete, when actual results and expected results are either in line or
differences are explainable, or acceptable, based on client input.
Why back-end testing is required, if we are going to check the front-end. What errros/bugs we are
missing out by not doing back-end testing.
Why we need to do unit testing, if all the features are being tested in System testing. What extra things
are tested in unit testing, which can not be tested in System testing.
Answer1:
Assume that you're thinking client-server or web. If you test the application on the front end only you can
see if the data was stored and retrievd correctly. You can't see if the servers are in an error state or not.
many server processes are monitored by another process. If they crash, they are restarted. You can't see that
without looking at it.
The data may not be stored correctly either but the front end may have cached data lying around and it will
use that instead. The least you should be doing is verifying the data as stored in the database.
It is easier to test data being transferred on the boundaries and see the results of those transactions when
you can set the data in a driver.
Answer2:
Back-End testing : Basically the requirement of this testing depends on ur project. like Say if ur project is
.Ticket booking system,Front end u will provided with an Interface , where u can book the ticket by giving
the appropriate details ( Like Place to go, and Time when u wanna go etc..). It will have a Data storage
system (Database or XL sheet etc) which is a Back end for storing details entered by the user.
6. After submitting the details ,U might have provided with a correct acknowledgement.But in back end , the
details might not updated correctly in Database becoz of wrong logic development. Then that will cause a
major problem.
and regarding Unit level testing and System testing Unit level testing is for testing the basic checks whether
the application is working fyn with the basic requirements.This will be done by developers before
delivering to the QA.In System testing , In addition to the unit checks ,u will be performing all the checks
( all possible integrated checks which required) .Basically this will be carried out by tester
Answer3:
Ever heard about divide and conquer tactic ? It is a same method applied in backend and frontend testing.
A good back end test will help minimize the burden of frontend test.
Another point is you can test the backend while develope the frontend. A true pararelism could be achived.
Backend testing has another problem which must addressed before front end could use it. The problem is
concurency. Building a scenario to test concurency is formidable task.
A complex thing is hard to test. To create such scenarios will make you unsure which test you already done
and which you haven't. What we need is an effective methods to test our application. The simplest method i
know is using divide and conquer.
Answer4:
A wide range of errors are hard to see if you don't see the code. For example, there are many optimizations
in programs that treat special cases. If you don't see the special case, you don't test the optimization. Also, a
substantial portion of most programs is error handling. Most programmers anticipate more errors than most
testers.
Programmers find and fix the vast majority of their own bugs. This is cheaper, because there is no
communication overhead, faster because there is no delay from tester-reporter to programmer, and more
effective because the programmer is likely to fix what she finds, and she is likely to know the cause of the
problems she sees. Also, the rapid feedback gives the programmer information about the weaknesses in her
programming that can help her write better code.
Many tests -- most boundary tests -- are done at the system level primarily because we don't trust that they
were done at the unit level. They are wasteful and tedious at the system level. I'd rather see them properly
done and properly automated in a suite of programmer tests.
What is Software “Quality”?
Quality software is reasonably bug-free, delivered on time and within budget, meets requirements and/or
expectations, and is maintainable.
However, quality is a subjective term. It will depend on who the ‘customer’ is and their overall influence in
the scheme of things. A wide-angle view of the ‘customers’ of a software development project might
include end-users, customer acceptance testers, customer contract officers, customer management, the
development organisation’s management/accountants/testers/salespeople, future software maintenance
engineers, stockholders, magazine reviewers, etc. Each type of ‘customer’ will have their own view on
‘quality’ - the accounting department might define quality in terms of profits while an end-user might
define quality as user-friendly and bug-free.
What is retesting?
Answer1:
Retesting is usually equated with regression testing (see above) but it is different in that is follows a
specific fix--such as a bug fix--and is very narrow in focus (as opposed to testing entire application again in
a regression test). A product should never be released after any change has been applied to the code, with
only retesting of the bug fix, and without a regression test.
Answer2:
7. 1. Re-testing is the testing for a specific bug after it has been fixed.(one given by your definition).
2. Re-testing can be one which is done for a bug which was raised by QA but could not be found or
confirmed by Development and has been rejected. So QA does a re-test to make sure the bug still exists and
again assigns it back to them.
when entire project is tested & client have some doubts about the quality of testing, Re-Testing can be
called. It can also be testing the same application again for better Quality.
Answer3:
Regression Testing is, the selective retesting of a system that has been modified to ensure that any bugs
have been fixed and that no other previously working functions have failed as a result of the reparations
and that newly added features have not created problems with previous versions of the software. Also
referred to as verification testing
It is important to determine whether in a given set of circumstances a particular series of tests has been
failed. The supplier may want to submit the software for re-testing. The contract should deal with the
parameters for retests, including (1) will test program which are doomed to failure be allowed to finish
early, or must they be completed in their entirety? (2) when can, or must, the supplier submit his software
for retesting?, and (3) how many times can the supplier fail tests and submit software for retesting ñ is this
based on time spent, or the number of attempts? A well drawn contract will grant the customer options in
the event of failure of acceptance tests, and these options may vary depending on how many attempts the
supplier has made to achieve acceptance.
So the conclusion is retesting is more or less regression testing. More appropriately retesting is a part of
regression testing.
Answer4:
Re-testing is simply executing the test plan another time. The client may request a re-test for any reason -
most likely is that the testers did not properly execute the scripts, poor documentation of test results, or the
client may not be comfortable with the results.
I've performed re-tests when the developer inserted unauthorized code changes, or did not document
changes.
Regression testing is the execution of test cases quot;not impactedquot; by the specific project. I am currently
working on testing of a system with poor system documentation (and no user documentation) so our
regression testing must be extensive.
Answer5:
* QA gets a bug fix, and has to verify that the bug is fixed. You might want to check a few things that are a
“gut feel” if you want to and get away by calling it retesting, but not the entire function / module / product.
* Development Refuses a bug on the basis of it being “Non Reproducible”, then retesting, preferably in the
presence of the Developer, is needed.
How to establish QA Process in an organization?
1.CURRENT SITUATION
The first thing you should do is to put what you currently do in a piece of paper in some sort of a flowchart
diagram. This will allow you to analyze what is being currently done.
2.DEVELOPMENT PROCESS STAGE
Once you have the quot;big picturequot;, you have to be aware of the current status of your development project or
projects. The processes you select will vary depending if you are in early stages of developing a new
application (i.e.: developing a version 1.0), or maintaining an existing application (i.e.: working on release
6.7.1).
3. PRIORITIES
The next thing you need to do is identify the priorities of your project, for example: - Compliance with
industry standards - Validation of new functionality (new GUIs, etc) - Security - Capacity Planning ( You
should see quot;Effective Methods for Software Testingquot; for more info). Make a list of the priorities, and then
assign them values of (H)igh, (M)edium and (L)ow.
4. TESTING TYPES
Once you are aware of the priorities, focus on the High first, then Medium, and finally evaluate whether the
Low ones need immediate attention.
Based on this, you need to select those Testing Types that will provide coverage for your priorities.
8. Example of testing types:
- Functional Testing
- Integration Testing
- System Testing
- System-to-System Testing (for testing interfaces)
- Regression Testing
- Load Testing
- Performance Testing
- Stress Testing
Etc.
5. WRITE A TEST PLAN
Once you have determined your needs, the simplest way to document and implement your process is to
elaborate a quot;Test Planquot; for every effort that you are engaged into (i.e.: for every release).
For this you can use generic Test Plan templates available in the web that will help you brainstorm and
define the scope of your testing:
- Scope of Testing (defects, functionality, and what will be and will not be tested).
- Testing Types (Functional, Regression, etc).
- Responsible people
- Requirements traceability matrix (match test cases with requirements to ensure coverage)
- Defect tracking
- Test Cases
DURING AND POST-TESTING ACTIVITIES
Make sure you keep track of the completion of your testing activities, the defects found, and that you
comply with an exit criteria prior to moving to the next stage in testing (i.e. User Acceptance Testing, then
Production Release).
Make sure you have a mechanism for:
- Reporting
- Test tracking
What is software testing?
1) Software testing is a process that identifies the correctness, completenes, and quality of software.
Actually, testing cannot establish the correctness of software. It can find defects, but cannot prove there are
no defects.
2) It is a systematic analysis of the software to see whether it has performed to specified requirements.
What software testing does is to uncover errors however it does not tell us that errors are still not present.
Any recommendation for estimation how many bugs the customer will find till gold release?
Answer1:
If you take the total number of bugs in the application and subtract the number of bugs you found, the
difference will be the maximum number of bugs the customer can find.
Seriously, I doubt you will find any sort of calculations or formula that can answer your question with
much accuracy. If you could refernce a previous application release, it might give you a rough idea. The
best thing to do is insure your test coverage is as good as you can make it then hope you've found the ones
the customer might find.
Remember Software testing is Risk Management!
Answer2:
For doing estimation :
1.)Find out the Coverage during testing of ur software and then estimate keeping in mind 80-20 principle.
2.)You can also look at the deepening of your test cases e.g. how much unit level testing and how much life
9. cycle teting have you performed (Believe that most of the bugs from customer comes due to real use of
lifecycle in the software)
3.)You can also refer the defect density from earlier releases of the same product line.
by doing these evaluation you can find out the probability of bugs at an approximately optimum estimation.
Answer3:
You can look at the customer issues mapping from previous release (If you have the same product line) to
the current release ,This is the best way of finding estimation for gold release of migration of any
product.Secondly, till gold release most of the issues comes from various combination of installation
testing like cross-platform,i18 issues,Customization,upgradation and migration.
So ,these can be taken as a parameter and then can estimation be completed.
When the build comes to the QA team, what are the parameters to be taken for consideration to
reject the build upfront without committing for testing ?
Answer1:
Agree with R&D a set of tests that if one fails you can reject the build. I usually have some build
verification tests that just make sure the build is stable and the major functionality is working.
Then if one test fails you can reject the build.
Answer2:
The only way to legitimately reject a build is if the entrance criteria have not been met. That means that the
entrance criteria to the test phase have been defined and agreed upon up front. This should be standard for
all builds for all products. Entrance criteria could include:
- Turn-over documentation is complete
- All unit testing has been successfully completed and U/T cases are documented in turn-over
- All expected software components have been turned-over (staged)
- All walkthroughs and inspections are complete
- Change requests have been updated to correct status
- Configuration Management and build information is provided, and correct, in turn-over
The only way we could really reject a build without any testing, would be a failure of the turn-over
procedure. There may, but shouldn't be, politics involved. The only way the test phase can proceed is for
the test team to have all components required to perform successful testing. You will have to define
entrance (and exit) criteria for each phase of the SDLC. This is an effort to be taken together by the whole
development team. Developments entrance criteria would include signed requirements, HLD doc, etc.
Having this criteria pre-established sets everyone up for success
Answer3:
The primary reason to reject a build is that it is untestable, or if the testing would be considered invalid.
For example, suppose someone gave you a quot;bad buildquot; in which several of the wrong files had been loaded.
Once you know it contains the wrong versions, most groups think there is no point continuing testing of
that build.
Every reason for rejecting a build beyond this is reached by agreement. For example, if you set a build
verification test and the program fails it, the agreement in your company might be to reject the program
from testing. Some BVTs are designed to include relatively few tests, and those of core functionality.
Failure of any of these tests might reflect fundamental instability. However, several test groups include a
lot of additional tests, and failure of these might not be grounds for rejecting a build.
In some companies, there are firm entry criteria to testing. Many companies pay lipservice to entry criteria
but start testing the code whether the entry criteria are met or not. Neither of these is right or wrong--it's the
culture of the company. Be sure of your corporate culture before rejecting a build.
Answer4:
Generally a company would have set some sort of minimum goals/criteria that a build needs to satisfy - if it
satisfies this - it can be accepted else it has to be rejected
For eg.
10. Nil - high priority bugs
2 - Medium Priority bugs
Sanity test or Minimum acceptance and Basic acceptance should pass The reasons for the new build - say a
change to a specific case - this should pass Not able to proceed - non - testability or even some more which
is in relation to the new build or the product If the above criterias don't pass then the build could be
rejected.
What is software testing?
Software testing is more than just error detection;
Testing software is operating the software under controlled conditions, to (1) verify that it behaves “as
specified”; (2) to detect errors, and (3) to validate that what has been specified is what the user actually
wanted.
Verification is the checking or testing of items, including software, for conformance and consistency by
evaluating the results against pre-specified requirements. [Verification: Are we building the system right?]
Error Detection: Testing should intentionally attempt to make things go wrong to determine if things
happen when they shouldn’t or things don’t happen when they should.
Validation looks at the system correctness – i.e. is the process of checking that what has been specified is
what the user actually wanted. [Validation: Are we building the right system?]
In other words, validation checks to see if we are building what the customer wants/needs, and verification
checks to see if we are building that system correctly. Both verification and validation are necessary, but
different components of any testing activity.
The definition of testing according to the ANSI/IEEE 1059 standard is that testing is the process of
analysing a software item to detect the differences between existing and required conditions (that is
defects/errors/bugs) and to evaluate the features of the software item.
Remember: The purpose of testing is verification, validation and error detection in order to find problems –
and the purpose of finding those problems is to get them fixed.
What is the testing lifecycle?
There is no standard, but it consists of:
Test Planning (Test Strategy, Test Plan(s), Test Bed Creation)
Test Development (Test Procedures, Test Scenarios, Test Cases)
Test Execution
Result Analysis (compare Expected to Actual results)
Defect Tracking
Reporting
How to validate data?
I assume that you are doing ETL (extract, transform, load) and cleaning. If my assumetion is correct then
1. you are builing data warehouse/ data minning
2. you ask right question to wrong place
What is quality?
Quality software is software that is reasonably bug-free, delivered on time and within budget, meets
requirements and expectations and is maintainable. However, quality is a subjective term. Quality depends
on who the customer is and their overall influence in the scheme of things. Customers of a software
11. development project include end-users, customer acceptance test engineers, testers, customer contract
officers, customer management, the development organization's management, test engineers, testers,
salespeople, software engineers, stockholders and accountants. Each type of customer will have his or her
own slant on quality. The accounting department might define quality in terms of profits, while an end-user
might define quality as user friendly and bug free.
what is Benchmark?
How it is linked with SDLC (Software Development Life Cycle)?
or SDLC and Benchmark are two unrelated things.?
What are the compoments of Benchmark?
In Software Testing where Benchmark fits in?
A Benchmark is a standard to measure against. If you benchmark an application, all future application
changes will be tested and compared against the benchmarked application.
Which of the following Statements about gernerating test cases is false?
1. Test cases may contain multiple valid conditions
2. Test cases may contain multiple invalid conditions
3. Test cases may contain both valid and invalid conditions
4. Test cases may contain more than 1 step.
5. test cases should contain Expected results.
Answer1:
all the conditions mentioned are valid and not a single condition can be stated as false.
Here i think, the condition means the input type or situation (some may call it as valid or invalid, positive
or negative)
Also a single test case can contain both the input types and then the final result can be verified (it obviously
should not bring the required result, as one of the input condition is invalid, when the test case would be
executed), this usually happens while writing secnario based test cases.
For ex. Consider web based registration form, in which input data type for some fields are positive and for
some fields it is negative (in a scenario based test case)
Above screen can be tested by generating various scenario's and combinations. The final result can be
verified against actual result and the registration should not be carried out sucessfully (as one/some input
types are invalid), when this test case is executed.
The writing of test case also depends upon the no. of descriptive fields the tester has in the test case
template. So more elaborative is the test case template, more is the ease of writing test cases and generating
scenario's. So writing of test cases totally depends on the indepth thinking of the tester and there are no
predefined or hard coded norms for writing test case.
This is according to my understanding of testing and test case writing knowledge (as for many applications,
i have written many positive and negative conditions in a single test case and verified different scenario's
by generating such test cases)
Answer2:
The answer to this question will be 3 Test cases may contain both valid and invalid conditions.
Since there is no restriction for the test case to be of multiple steps or more than one valid or invalid
conditions. But A test case whether it is feature ,unit level or end to end test case ,it can not contain both
valid and invalid condition in a unit test case.
Because if this will happen then the concept of test case for a result will be dwindled and hence has no
meaning.
What is “Quality Assurance”?
“Quality Assurance” measures the quality of processes used to create a quality product.
12. Software Quality Assurance (‘SQA’ or ‘QA’) is the process of monitoring and improving all activities
associated with software development, from requirements gathering, design and reviews to coding, testing
and implementation.
It involves the entire software development process - monitoring and improving the process, making sure
that any agreed-upon standards and procedures are followed, and ensuring that problems are found and
dealt with, at the earliest possible stage. Unlike testing, which is mainly a ‘detection’ process, QA is
‘preventative’ in that it aims to ensure quality in the methods & processes – and therefore reduce the
prevalence of errors in the software.
Organisations vary considerably in how they assign responsibility for QA and testing. Sometimes they’re
the combined responsibility of one group or individual. Also common are project teams that include a mix
of testers and developers who work closely together, with overall QA processes monitored by project
managers or quality managers.
Quality Assurance and Software Development
Quality Assurance and development of a product are parallel activities. Complete QA includes reviews of
the development methods and standards, reviews of all the documentation (not just for standardisation but
for verification and clarity of the contents also). Overall Quality Assurance processes also include code
validation.
A note about quality assurance: The role of quality assurance is a superset of testing. Its mission is to help
minimise the risk of project failure. QA people aim to understand the causes of project failure (which
includes software errors as an aspect) and help the team prevent, detect, and correct the problems. Often
test teams are referred to as QA Teams, perhaps acknowledging that testers should consider broader QA
issues as well as testing.
Which things to consider to test a mobile application through black box technique?
Answer1:
Not sure how your device/server is to operate, so mold these ideas to fit your app. Some highlights are:
Range testing: Ensure that you can reconnect when leaving and returning back into range.
Port/IP/firewall testing - change ports and ips to ensure that you can connect and disconnect. modify the
firewall to shutoff the connection.
Multiple devices - make sure that a user receives his messages with other devices connected to the same
ip/port. Your app should have a method to determine which device/user sent the message and only return to
it. Should be in the message string sent and received. Unless you have conferencing capabilities within the
application.
Cycle the power of the server and watch the mobile unit reconnect automatically.
Mobile unit sends a message and then power off the unit, when powering back on and reconnecting, ensure
that the message is returned to the mobile unit.
Answer2:
Not clearly mentioned which area of the mobile application you are testing with. Whether is it simple SMS
application or WAP application, you need to specify more details.If you are working with WAP then you
can download simulators from net and start testing over it.
What is the general testing process?
The general testing process is the creation of a test strategy (which sometimes includes the creation of test
cases), creation of a test plan/design (which usually includes test cases and test procedures) and the
execution of tests. Test data are inputs that have been devised to test the system
Test Cases are inputs and outputs specification plus a statement of the function under the test.
Test data can be generated automatically (simulated) or real (live).
13. The stages in the testing process are as follows:
1. Unit testing: (Code Oriented)
Individual components are tested to ensure that they operate correctly. Each component is tested
independently, without other system components.
2. Module testing:
A module is a collection of dependent components such as an object class, an abstract data type or some
looser collection of procedures and functions. A module encapsulates related components so it can be
tested without other system modules.
3. Sub-system testing: (Integration Testing) (Design Oriented)
This phase involves testing collections of modules, which have been integrated into sub-systems. Sub-
systems may be independently designed and implemented. The most common problems, which arise in
large software systems, are sub-systems interface mismatches. The sub-system test process should therefore
concentrate on the detection of interface errors by rigorously exercising these interfaces.
4. System testing:
The sub-systems are integrated to make up the entire system. The testing process is concerned with finding
errors that result from unanticipated interactions between sub-systems and system components. It is also
concerned with validating that the system meets its functional and non-functional requirements.
5. Acceptance testing:
This is the final stage in the testing process before the system is accepted for operational use. The system is
tested with data supplied by the system client rather than simulated test data. Acceptance testing may reveal
errors and omissions in the systems requirements definition( user - oriented) because real data exercises the
system in different ways from the test data. Acceptance testing may also reveal requirement problems
where the system facilities do not really meet the users needs (functional) or the system performance (non-
functional) is unacceptable.
Acceptance testing is sometimes called alpha testing. Bespoke systems are developed for a single client.
The alpha testing process continues until the system developer and the client agrees that the delivered
system is an acceptable implementation of the system requirements.
When a system is to be marketed as a software product, a testing process called beta testing is often used.
Beta testing involves delivering a system to a number of potential customers who agree to use that system.
They report problems to the system developers. This exposes the product to real use and detects errors that
may not have been anticipated by the system builders. After this feedback, the system is modified and
either released fur further beta testing or for general sale.
What's normal practices of the QA specialists with perspective of software?
These are the normal practices of the QA specialists with perspective of software
[note: these are all QC activities, not QA activities.]
1-Desgin Review Meetings with the System Analyst and If possible should be the part in Requirement
gathering
2-Analysing the requirements and the desing and to trace the desing with respect to the requirements
3-Test Planning
4-Test Case Identification using different techniques (With respect to the Web Based Applciation and
Desktoip Applications)
5-Test Case Writing (This part is to be assigned to the testing engineers)
6-Test Case Execution (This part is to be assigned to the testing engineers)
7-Bug Reporting (This part is to be assigned to the testing engineers)
8-Bug Review and thier Analysis so that future bus can be removed by desgining some standards
from low-level to high level (Testing in Stages)
Except for small programs, systems should not be tested as a single unit. Large systems are built out of sub-
14. systems, which are built out of modules that are composed of procedures and functions. The testing process
should therefore proceed in stages where testing is carried out incrementally in conjunction with system
implementation.
The most widely used testing process consists of five stages
UNIT TESTING
COMPONENT
TESTING MODULE
TESTING VERIFICATIO WHITE BOX TESTING TECHNIQUES
N (TESTS THAT ARE DERIVED FROM KNOWLEDGE
SUB-SYSTEM (PROCESS OF THE PROGRAM'S STRUCTURE AND
INTEGRATED TESTING ORIENTED) IMPLEMENTATION)
TESTING SYSTEM
TESTING
VALIDATION BLACK BOX TESTING TECHNIQUES
USER ACCEPTANCE
(PRODUCT (TESTS ARE DERIVED FROM THE PROGRAM
TESTING TESTING
ORIENTED) SPECIFICATION)
HOWEVER, AS DEFECTS ARE DISCOVERED AT ANY ONE STAGE, THEY REQUIRE PROGRAM
MODIFICATIONS TO CORRECT THEM AND THIS MAY REQUIRE OTHER STAGES IN THE
TESTING PROCESS TO BE REPEATED.
ERRORS IN PROGRAM COMPONENTS, SAY MAY COME TO LIGHT AT A LATER STAGE OF
THE TESTING PROCESS. THE PROCESS IS THEREFORE AN ITERATIVE ONE WITH
INFORMATION BEING FED BACK FROM LATER STAGES TO EARLIER PARTS OF THE
PROCESS.
How to test and to get the difference between two images which is in the same window?
Answer1:
How are you doing your comparison? If you are doing it manually, then you should be able to see any
major differences. If you are using an automated tool, then there is usually a comparison facility in the tool
to do that.
Answer2:
Jasper Software is an open-source utility which can be compiled into C++ and has a imgcmp function
which compares JPEG files in very good detail as long as they have the same dimentions and number of
components.
Answer3:
Rational has a comparison tool that may be used. I'm sure Mercury has the same tool.
Answer4:
The key question is whether we need a bit-by-bit exact comparison, which the current tools are good at, or
an equivalency comparison. What differences between these images are not differences? Near-match
comparison has been the subject of a lot of research in printer testing, including an M.Sc. thesis at Florida
Tech. It's a tough problem.
Testing Strategies
Strategy is a general approach rather than a method of devising particular systems for component tests.
Different strategies may be adopted depending on the type of system to be tested and the development
15. process used. The testing strategies are
Top-Down Testing
Bottom - Up Testing
Thread Testing
Stress Testing
Back- to Back Testing
1. Top-down testing
Where testing starts with the most abstract component and works downwards.
2. Bottom-up testing
Where testing starts with the fundamental components and works upwards.
3. Thread testing
Which is used for systems with multiple processes where the processing of a transaction threads its way
through these processes.
4. Stress testing
Which relies on stressing the system by going beyond its specified limits and hence testing how well the
system can cope with over-load situations.
5. Back-to-back testing
Which is used when versions of a system are available. The systems are tested together and their outputs
are compared. 6. Performance testing.
This is used to test the run-time performance of software.
7. Security testing.
This attempts to verify that protection mechanisms built into system will protect it from improper
penetration.
8. Recovery testing.
This forces software to fail in a variety ways and verifies that recovery is properly performed.
Large systems are usually tested using a mixture of these strategies rather than any single approach.
Different strategies may be needed for different parts of the system and at different stages in the testing
process.
Whatever testing strategy is adopted, it is always sensible to adopt an incremental approach to sub-system
and system testing. Rather than integrate all components into a system and then start testing, the system
should be tested incrementally. Each increment should be tested before the next increment is added to the
system. This process should continue until all modules have been incorporated into the system.
When a module is introduced at some stage in this process, tests, which were previously unsuccessful, may
now, detect defects. These defects are probably due to interactions with the new module. The source of the
problem is localized to some extent, thus simplifying defect location and repai
Debugging
Brute force, backtracking, cause elimination.
UNIT FOCUSES ON EACH MODULE AND WHETHER IT WORKS
CODING
TESTING PROPERLY. MAKES HEAVY USE OF WHITE BOX TESTING
INTEGRATIO DESIGN CENTERED ON MAKING SURE THAT EACH MODULE WORKS
N TESTING WITH ANOTHER MODULE.
COMPRISED OF TWO KINDS:
16. TOP-DOWN AND
BOTTOM-UP INTEGRATION.
OR FOCUSES ON THE DESIGN AND CONSTRUCTION OF THE
SOFTWARE ARCHITECTURE.
MAKES HEAVY USE OF BLACK BOX TESTING.(EITHER ANSWER
IS ACCEPTABLE)
VALIDATION
ANALYSIS ENSURING CONFORMITY WITH REQUIREMENTS
TESTING
MAKING SURE THAT THE SOFTWARE PRODUCT WORKS WITH
SYSTEMS SYSTEMS
THE EXTERNAL ENVIRONMENT, E.G., COMPUTER SYSTEM,
TESTING ENGINEERING
OTHER SOFTWARE PRODUCTS.
DRIVER AND STUBS
DRIVER: DUMMY MAIN PROGRAM
STUB: DUMMY SUB-PROGRAM
THIS IS BECAUSE THE MODULES ARE NOT YET STAND-ALONE PROGRAMS THEREFORE
DRIVE AND OR STUBS HAVE TO BE DEVELOPED TO TEST EACH UNIT.
When do we prepare a Test Plan?
[Always prepared a Test Plan for every new version or release of the product? ]
For four or five features at once, a single plan is fine. Write new test cases rather than new test plans. Write
test plans for two very different purposes. Sometimes the test plan is a product; sometimes it's a tool.
What is boundary value analysis?
Boundary value analysis is a technique for test data selection. A test engineer chooses values that lie along
data extremes. Boundary values include maximum, minimum, just inside boundaries, just outside
boundaries, typical values, and error values. The expectation is that, if a systems works correctly for these
extreme or special values, then it will work correctly for all values in between. An effective way to test
code is to exercise it at its natural boundaries.
Boundary Value Analysis is a method of testing that complements equivalence partitioning. In this case,
data input as well as data output are tested. The rationale behind BVA is that the errors typically occur at
the boundaries of the data. The boundaries refer to the upper limit and the lower limit of a range of values
or more commonly known as the quot;edgesquot; of the boundary.
Describe methods to determine if you are testing an application too much?
Answer1:
While testing, you need to keep in mind following two things always:
-- Percentage of requirements coverage
-- Number of Bugs present + Rate of fall of bugs
-- Firstly, There may be a case where requirement is covered quite adequately but number of bugs do not
fall. This indicates over testing.
--- Secondly, There may be a case where those parts of application are also being tested which are not
affected by a CHANGE or BUG FIXTURE. This is again a case of over testing.
-- Third is the case as you have suggested, with slight modification, i.e bug has sufficiently dropped off but
still testing is being at SAME levels as before.
17. Methods to determine if an application is being over-tested are--
1. Comparison of 'Rate of Drop in number of Bugs' & 'Effort Invested in Testing' (With all Requirements
been met) That is, if bug rate is falling (as it generally happens in all applications), but effort invested in
man hours does not fall, this implies Over testing.
2. Comparison of 'Achievment of bug rate threshold' & 'Effort Invested in Testing' (With all Requirements
been met) That is, if bug rate has already achieved the agreed-upon value with business and still the testing
efforts are being invested with no/little reduction.
3. Verifying if the 'Impact Analysis' for 'Change Requests' has been done properly and being implemented
correctly. That is, to check and verify that the components of AUT which have got impacted by the new
change are being tested only and no other unrequired component is being tested unneccessarily. If
unaffected components are being tested, this implies Over testing.
Answer2:
If the bug find rate has dropped off considerably, the test group should shift its testing strategy. One of the
key problems with heavy reliance on regression testing is that the bug find rate drops off even though there
are plenty of bugs not yet found. To find new bugs, you have to run new tests.
Every test technique is stronger for some types of bugs and weaker for others. Many test groups use only a
few techniques. In our consulting, James Bach and I repeatedly worked with companies that relied on only
one or two main techniques.
When one technique, any one test technique, yields few bugs, shifting to new technique(s) is likely to
expose new problems.
At some point, you can use a measure that is only partially statistical -- if your bug find rate is low AND
you can't think of any new testing approaches that look promising, THEN you are at the limit of your
effectiveness and you should ship the product. That still doesn't mean that the application is overtested. It
just means that YOU'RE not going to find many new bugs.
Answer3:
Best way is to monitor the test defects over the period of time
Refer williams perry book, where he has mentioned the concept of 'under test' and 'over test', in fact the
data can be plotted to see the criteria.
Yes one of the criteria is to monitor the defect rate and see if it is almost zero second method would be
using test coverage when it reach 100% (or 100% requirement coverage)
Procedural Software Testing Issues
Software testing in the traditional sense can miss a large number of errors if used alone. That is why
processes like Software Inspections and Software Quality Assurance (SQA) have been developed.
However, even testing all by itself is very time consuming and very costly. It also ties up resources that
could be used otherwise. When combined with inspections and/or SQA or when formalized, it also
becomes a project of its own requiring analysis, design and implementation and supportive
communications infrastructure. With it interpersonal problems arise and need managing. On the other hand,
when testing is conducted by the developers, it will most likely be very subjective. Another problem is that
developers are trained to avoid errors. As a result they may conduct tests that prove the product is working
as intended (i.e. proving there are no errors) instead of creating test cases that tend to uncover as many
errors as possible.
How do I start with testing?
Think twice (or may be more) times before you choose a career. Are you interested in it or do u just want to
jump on the bandwagon?
Prerequisite
You can join a software development company as a tester if you can convince the interviewer
1. You have a knack for breaking software
18. 2. You are aware of basic Quality concepts and belive in them
3. You want to pursue Testing as a career and not just to try it
OO Software Testing Issues
A common way of testing OO software testing-by-poking-around (Binder, 1995). In this case the
developer's goal is to show that the product can do something useful without crashing. Attempts are made
to quot;breakquot; the product. If and when it breaks, the errors are fixed and the product is then deemed quot;testedquot;.
Testing-by-poking-around method of testing OO software is, in my opinion, as unsuccessful as random
testing of procedural code or design. It leaves the finding of errors up to a chance.
Another common problem in OO testing is the idea that since a superclass has been tested, any subclasses
inheriting from it don't need to be.
This is not true because by defining a subclass we define a new context for the inherited attributes. Because
of interaction between objects, we have to design test cases to test each new context and re-test the
superclass as well to ensure proper working order of those objects.
Yet another misconception in OO is that if you do proper analysis and design (using the class interface or
specification), you don't need to test or you can just perform black-box testing only.
However, function tests only try the quot;normalquot; paths or states of the class. In order to test the other paths or
states, we need code instrumentation. Also it is often difficult to exercise exception and error handling
without examination of the source code.
What is the purpose of black box testing?
Answer1:
The main purpose of BB Testing is to validate that the application works as the user will be operating it and
in the environments of their systems. How do you do system testing and integration testing?
You may lose time and money but you may also lose Quality and eventually Customers!
Answer2:
quot;What is the purpose of black box testing?quot;
Black-box testing checks that the user interface and user inputs and outputs all work correctly. Part of this
is that error handling must work correctly. It's used in functional and system testing.
quot;We do everything in white box testing: - we check each module's function in the unit testingquot;
Who is quot;wequot;? Are you programmers or quality assurance testers? Usually, unit testing is done by
programmers, and white-box testing would be how they'd do it.
quot;- once unit test result is ok, means that modules work correctly (according to the requirement
documemts)quot;
Not quite. It means that on a stand-alone basis, each module is okay. White box testing only tests the
internal structure of the program, the code paths. Functional testing is needed to test how the individual
components work together, and this is best done from an external perspective, meaning by using the
software the way an end user would, without reference to the code (which is what black-box testing is).
if we doing testing again in black box will we lose time and money?quot;
No, the opposite: You'll lose money from having to repair errors you didn't catch with the white-box testing
if you don't do some black-box testing. It's far more expensive to fix errors after release than to test for
them and fix them early on.
But again, who is quot;wequot;? The black box testers should not be the people who did the programming; they
should be the QA team -- also some end users for the usability testing.
Now that I've said that, good programmers will run some basic black-box tests before handing the
application to QA for testing. This isn't a substitute for having QA do the tests, but it's a lot quicker for the
programmer to find and fix an error right away than to have to go through the whole process of reporting a
bug, then fixing and releasing a new build, then retesting.
19. How do you create a test plan/design?
Test scenarios and/or cases are prepared by reviewing functional requirements of the release and preparing
logical groups of functions that can be further broken into test procedures. Test procedures define test
conditions, data to be used for testing and expected results, including database updates, file outputs, report
results. Generally speaking...
* Test cases and scenarios are designed to represent both typical and unusual situations that may occur in
the application.
* Test engineers define unit test requirements and unit test cases. Test engineers also execute unit test
cases.
* It is the test team that, with assistance of developers and clients, develops test cases and scenarios for
integration and system testing.
* Test scenarios are executed through the use of test procedures or scripts.
* Test procedures or scripts define a series of steps necessary to perform one or more test scenarios.
* Test procedures or scripts include the specific data that will be used for testing the process or transaction.
* Test procedures or scripts may cover multiple test scenarios.
* Test scripts are mapped back to the requirements and traceability matrices are used to ensure each test is
within scope.
* Test data is captured and base lined, prior to testing. This data serves as the foundation for unit and
system testing and used to exercise system functionality in a controlled environment.
* Some output data is also base-lined for future comparison. Base-lined data is used to support future
application maintenance via regression testing.
* A pretest meeting is held to assess the readiness of the application and the environment and data to be
tested. A test readiness document is created to indicate the status of the entrance criteria of the release.
Inputs for this process:
* Approved Test Strategy Document.
* Test tools, or automated test tools, if applicable.
* Previously developed scripts, if applicable.
* Test documentation problems uncovered as a result of testing.
* A good understanding of software complexity and module path coverage, derived from general and
detailed design documents, e.g. software design document, source code, and software complexity data.
Outputs for this process:
* Approved documents of test scenarios, test cases, test conditions, and test data.
* Reports of software design issues, given to software developers for correction.
What is the purpose of a test plan?
Reason number 1: We create a test plan because preparing it helps us to think through the efforts needed to
validate the acceptability of a software product.
Reason number 2: We create a test plan because it can and will help people outside the test group to
understand the why and how of product validation.
Reason number 3: We create a test plan because, in regulated environments, we have to have a written test
plan.
Reason number 4: We create a test plan because the general testing process includes the creation of a test
plan.
Reason number 5: We create a test plan because we want a document that describes the objectives, scope,
approach and focus of the software testing effort.
Reason number 6: We create a test plan because it includes test cases, conditions, the test environment, a
list of related tasks, pass/fail criteria, and risk assessment.
Reason number 7: We create test plan because one of the outputs for creating a test strategy is an approved
and signed off test plan document.
Reason number 8: We create a test plan because the software testing methodology a three step process, and
one of the steps is the creation of a test plan.
Reason number 9: We create a test plan because we want an opportunity to review the test plan with the
project team.
Reason number 10: We create a test plan document because test plans should be documented, so that they
are repeatable.
20. Can we prepare Test Plan without SRS?
It is not always mandatory that you should have SRS document to prepare a Test Plan. This kind of
Documents Hierarchy is maintained to maintain Organizational standards and also to have clear
understanding of the things.
Yes you can Prepare a Test plan directly without SRS, When the Requirements are clear with your
clients,and when your URD(User Requirement Document ) is supportive enough to clarify the issues.
Though we don't have SRS clients will be giving some information SRS only contains mainly Product
information
But we will not know the Testing effort if we don't have SRS.
SRS contains How many cycles we are testing, and on the platforms we are testing , etc.
Actually there won't be any harm in doing so, becoz, ultimately you will send your Test plan document to
your client and after getting approval from him only you start Testing.
(Note:- SRS is the document which you get in the Analysis phase of your Software Development. Test plan
is the document , which contains the details of Product interms of , Tset strategy , Scope of testing, Types
of tests to be conducted,Risk Managemnet , Mention of Automation Tool ,About Bug tracking Tool, etc..,)
How do test plan templates look like?
The test plan document template helps to generate test plan documents that describe the objectives, scope,
approach and focus of a software testing effort. Test document templates are often in the form of
documents that are divided into sections and subsections. One example of a template is a 4-section
document where section 1 is the description of the quot;Test Objectivequot;, section 2 is the the description of
quot;Scope of Testingquot;, section 3 is the the description of the quot;Test Approachquot;, and section 4 is the quot;Focus of
the Testing Effortquot;.
All documents should be written to a certain standard and template. Standards and templates maintain
document uniformity. They also help in learning where information is located, making it easier for a user to
find what they want. With standards and templates, information will not be accidentally omitted from a
document. Once Rob Davis has learned and reviewed your standards and templates, he will use them. He
will also recommend improvements and/or additions.
A software project test plan is a document that describes the objectives, scope, approach and focus of a
software testing effort. The process of preparing a test plan is a useful way to think through the efforts
needed to validate the acceptability of a software product. The completed document will help people
outside the test group understand the why and how of product validation.
How to Test a desktop systems ?
You will likely have to use a programming or scripting language to interact with the service directly. You
will have more control over the raw information that way.
You will have to determine what the service is supposed to do and how it is supposed to interact with other
applications and services. A data dictionary likely exists. It may not be called that however. What this
document does is explain what commands the service will respond to and what sort of data should be sent.
You will have to use this document to do your testing. Get close to the person or people who created the
document or the service and expect them to keep you in the loop when changes take place (it doesn't help
anyone if you report a defect and it's really only reflecting an expected change in the operation of the
service).
Desktop applications are generally designed to run and quit. You have to be concerned with memory leaks
and system usage.
21. How do you create a test strategy?
The test strategy is a formal description of how a software product will be tested. A test strategy is
developed for all levels of testing, as required. The test team analyzes the requirements, writes the test
strategy and reviews the plan with the project team. The test plan may include test cases, conditions, the
test environment, a list of related tasks, pass/fail criteria and risk assessment.
Inputs for this process:
* A description of the required hardware and software components, including test tools. This information
comes from the test environment, including test tool data.
* A description of roles and responsibilities of the resources required for the test and schedule constraints.
This information comes from man-hours and schedules.
* Testing methodology. This is based on known standards.
* Functional and technical requirements of the application. This information comes from requirements,
change request, technical and functional design documents.
* Requirements that the system can not provide, e.g. system limitations.
Outputs for this process:
* An approved and signed off test strategy document, test plan, including test cases.
* Testing issues requiring resolution. Usually this requires additional negotiation at the project management
level.
How to do Estimating Testing effort ?
Time Estimation method for Testing Process
Note : folloing method is based on use case driven specification.
Step 1 : count number of use cases (NUC) of system
step 2 : Set Avg Time Test Cases(ATTC) as per test plan
step 3 : Estimate total number of test cases (NTC)
Total number of test cases = Number of usecases X Avg testcases per a use case
Step 4 : Set Avg Execution Time (AET) per a test case (idelly 15 min depends on your system)
Step 5 : Calculate Total Execution Time (TET)
TET = Total number of test cases * AET
Step 6 : Calculate Test Case Creation Time (TCCT)
useually we will take 1.5 times of TET as TCCT
TCCT = 1.5 * TET
Step 7 : Time for ReTest Case Execution (RTCE) this is for retesting
useually we take 0.5 times of TET
RTCE = 0.5 * TET
Step 8 : Set Report generation Time (RGT
usually we take 0.2 times of TET
RGT = 0.2 * TET
Step 9 : Set Test Environment Setup Time (TEST)
it also depends on test plan
Step 10 : Total Estimation time = TET + TCCT+ RTCE + RGT + TEST + some buffer...;)
Example
Total No of use cases (NUC) : 227
Average test cases per Use cases(AET) : 10
Estimated Test cases(NTC) : 227 * 10 = 2270
Time estimation execution (TET) : 2270/4 = 567.5 hr
Time for creating testcases (TCCT) : 567.5*4/3 = 756.6 hr
Time for retesting (RTCE) : 567.5/2 = 283.75 hr
Report Generation(RGT) = 100 hr
Test Environment Setup Time(TEST) = 20 hr.
-------------------
Total Hrs 1727.85 + buffer
-------------------
here 4 means Number of testcases executed per hour
i.e 15 min will take for execution of each test case
22. What is the purpose of test strategy?
Reason number 1: The number one reason of writing a test strategy document is to quot;havequot; a signed, sealed,
and delivered, FDA (or FAA) approved document, where the document includes a written testing
methodology, test plan, and test cases.
Reason number 2: Having a test strategy does satisfy one important step in the software testing process.
Reason number 3: The test strategy document tells us how the software product will be tested.
Reason number 4: The creation of a test strategy document presents an opportunity to review the test plan
with the project team.
Reason number 5: The test strategy document describes the roles, responsibilities, and the resources
required for the test and schedule constraints.
Reason number 6: When we create a test strategy document, we have to put into writing any testing issues
requiring resolution (and usually this means additional negotiation at the project management level).
Reason number 7: The test strategy is decided first, before lower level decisions are made on the test plan,
test design, and other testing issues.
What's Quality Approach document? what should be the contents and things like that...
Answer1:
you should start thinking from your company business type, and according to it define different processes
for your organization. like procurment, CM etc
Then think over different matrices you will be calculating for each process, and define them with formula,
the kind of analysis will be doing and when shall the red flag to be raised,
Decide on your audit policies frequencies etc. Think on the change control board if any process needs
modification.
Answer2:
By defining the process i mean the structured collection of practices that describe the characteristics of the
work and its quality. writting process means creating a system with which every one will work, the benefits
of it are like common language and a shared vision across organization, its will be a frame work for
prioritizing actions.
From implementation point of view first you need to break the complete life cycle of your product in
diffrent meaningful steps, and setting the goals for each phase.
you can create different document templates which every one shall follow, Define the dependencies among
different groups for each project, Define risks for each project and what is mitigation plan for each risk. etc
You can read the CMMI model, customize that as per your organization goal. for a start up company As per
my personal opinion, its better to define and reach at the process for Level 3 First and then go for level 5.
What does a test strategy document contain?
The test strategy document contains test cases, conditions, the test environment, a list of related tasks,
pass/fail criteria and risk assessment. The test strategy document is a formal description of how a software
product will be tested. What is the test strategy document developed for? It is developed for all levels of
testing, as required. How is it written, and who writes it? It is the test team that analyzes the requirements,
writes the test strategy, and reviews the plan with the project team.
Why Q/A should not report to development?
23. Based on research from the Quality Assurance Institute, the percent of quality groups in each location is
noted,
50% - reports to Senior IT Manager - This is the best positioning because it gives the Quality Manager
immediate access to the IT Manager to discuss and promote Quality issues, when the quality manager
reports elsewhere, quality issues may not be raised to the appropriate level or receive the necessary action.
25% - reports to Manager of systems/programming
15 % reports to Manger oprerations.
10 % outside IT function.
Which of the following statements about Regression statements are true?
1---Regression testing must consist of a fixed set of tests to create a base line
2---Regression tests should be used to detect defects in new feature
3---Regression testing can be run on every build
4--- Regression testing should be targeted areas of high risk and known code change
5---Regression testing when automated, is highly effective in preventing defects.
Answer1:
1---Regression testing must consist of a fixed set of tests to create a base line
Don't think it is true as a quot;mustquot; -- it
depends on whether your regression testing style involves repeating identical tests or redoing testing in
previously tested areas with similar tests or tests that address the same risks. For example, some people do
regression testing with tests whose specific parameters are determined randomly. They broaden the set of
values they test while achieving essentially the same testing. Second example--some regression test suites
include random stringing together of test cases (they include load testing and duration testing in their
regression series, reporting their results as part of the assessment of each build). Depending on your theory
of the _point_ of regression testing, these may or may not be entirely valid regression tests.
2---Regression tests should be used to detect defects in new feature
How do you create new regression tests? Should you design new tests as standalone, or should you develop
a strategy in which the tests you use for bug-hunting are designed to be reusable as regression tests? If the
latter, and I have certainly heard some skilled testers argue that the latter approach worked well in their
sistuation, then #2 is sometimes true.
3---Regression testing can be run on every build
This is true, though it might be silly and a big waste of time.
4--- Regression testing should be targeted areas of high risk and known code change
Hmmm, there's a area of computer science called program slicing and one of the objectives of this class of
work is to figure out how to restrict the regression test suite to a smaller number of tests, which test only
those things that might have been impacted by a change. Bob Glass has criticized the results of some of this
work, but if #4 is false, some Ph.D.'s and big research grants should be retracted.
5---Regression testing when automated, is highly effective in preventing defects.
Unit-level automated regression testing is highly effective in preventing defects--read up on test-driven
development.
Answer2:
Let me explain why I think 2 & 5 are false
2---Regression tests should be used to detect defects in new feature
Since regression tests only address existing features and functionality, it can't find defects in new features.
It can only find where existing features and functionality have been broken by changes.
5---Regression testing when automated, is highly effective in preventing defects.
Since no tests prevent defects, they only find them, it's impossible to prevent defects with a regression test.
I will add, however, that if a developer can use an automated regression test to test their own code before
submitting it to the code repository (say in the form a series of unit tests coupled to a library, etc.) then you
24. could in some way prevent defects with a regression test.
I also don't like 1- and 4. 1- since a regression test suite grows as the product does. Therefore the tests are
not fixed. 4- because a regression test tests the whole application, not just a targeted area. In the past, I have
used the concept of test depth (level 1 being the basic regression tests--higher number reflect additional
functionality) so you could run a level one regression on the whole program but do level three on the
transport layer quot;because we've updated the libraryquot;. T
an automated set of tests would be the most likely way to make 3- a possibility. It is unlikely that with daily
builds, as many companies run their build process, that anything short of an automated regression test suite
would be able to be run daily with any efficacy. if the builds were weekly, then a manual regression test
would be likely.
Answer3:
As per the difinition of regression testing and actual workaround if you have to have answer this question
then option 3 & 4 is the best choice among all.The reason behind it is :
3---Regression testing can be run on every build It is a normal phenomenon if there is build coming on
weekly basis or it is a RC build.Since,there is nothing mention about daily build ,only thing mention is
every build so it can be correct.
4---Regression testing should be targeted areas of high risk and known code change This is also true in
most of the situation,it is not universally true but in certain condition where there is code change and the
related modules are only tested in regression automation rather than whole code.
5 is not true coz in regression we detect the defect not prevent normally.
How do you execute tests?
Execution of tests is completed by following the test documents in a methodical manner. As each test
procedure is performed, an entry is recorded in a test execution log to note the execution of the procedure
and whether or not the test procedure uncovered any defects. Checkpoint meetings are held throughout the
execution phase. Checkpoint meetings are held daily, if required, to address and discuss testing issues,
status and activities.
* The output from the execution of test procedures is known as test results. Test results are evaluated by
test engineers to determine whether the expected results have been obtained. All discrepancies/anomalies
are logged and discussed with the software team lead, hardware test lead, programmers, software engineers
and documented for further investigation and resolution. Every company has a different process for logging
and reporting bugs/defects uncovered during testing.
* A pass/fail criteria is used to determine the severity of a problem, and results are recorded in a test
summary report. The severity of a problem, found during system testing, is defined in accordance to the
customer's risk assessment and recorded in their selected tracking tool.
* Proposed fixes are delivered to the testing environment, based on the severity of the problem. Fixes are
regression tested and flawless fixes are migrated to a new baseline. Following completion of the test,
members of the test team prepare a summary report. The summary report is reviewed by the Project
Manager, Software QA Manager and/or Test Team Lead.
* After a particular level of testing has been certified, it is the responsibility of the Configuration Manager
to coordinate the migration of the release software components to the next test level, as documented in the
Configuration Management Plan. The software is only migrated to the production environment after the
Project Manager's formal acceptance.
* The test team reviews test document problems identified during testing, and update documents where
appropriate.
Inputs for this process:
* Approved test documents, e.g. Test Plan, Test Cases, Test Procedures.
* Test tools, including automated test tools, if applicable.
* Developed scripts.
* Changes to the design, i.e. Change Request Documents.
* Test data.
* Availability of the test team and project team.
25. * General and Detailed Design Documents, i.e. Requirements Document, Software Design Document.
* A software that has been migrated to the test environment, i.e. unit tested code, via the
Configuration/Build Manager.
* Test Readiness Document.
* Document Updates.
Outputs for this process:
* Log and summary of the test results. Usually this is part of the Test Report. This needs to be approved
and signed-off with revised testing deliverables.
* Changes to the code, also known as test fixes.
* Test document problems uncovered as a result of testing. Examples are Requirements document and
Design Document problems.
* Reports on software design issues, given to software developers for correction. Examples are bug reports
on code issues.
* Formal record of test incidents, usually part of problem tracking.
* Base-lined package, also known as tested source and object code, ready for migration to the next level.
What is a requirements test matrix?
The requirements test matrix is a project management tool for tracking and managing testing efforts, based
on requirements, throughout the project's life cycle.
The requirements test matrix is a table, where requirement descriptions are put in the rows of the table, and
the descriptions of testing efforts are put in the column headers of the same table.
The requirements test matrix is similar to the requirements traceability matrix, which is a representation of
user requirements aligned against system functionality. The requirements traceability matrix ensures that all
user requirements are addressed by the system integration team and implemented in the system integration
effort.
The requirements test matrix is a representation of user requirements aligned against system testing.
Similarly to the requirements traceability matrix, the requirements test matrix ensures that all user
requirements are addressed by the system test team and implemented in the system testing effort.
Can you give me a requirements test matrix template?
For a requirements test matrix template, you want to visualize a simple, basic table that you create for
cross-referencing purposes.
Step 1: Find out how many requirements you have.
Step 2: Find out how many test cases you have.
Step 3: Based on these numbers, create a basic table. If you have a list of 90 requirements and 360 test
cases, you want to create a table of 91 rows and 361 columns.
Step 4: Focus on the the first column of your table. One by one, copy all your 90 requirement numbers, and
paste them into rows 2 through 91 of the table.
Step 5: Now switch your attention to the the first row of the table. One by one, copy all your 360 test case
numbers, and paste them into columns 2 through 361 of the table.
Step 6: Examine each of your 360 test cases, and, one by one, determine which of the 90 requirements they
satisfy. If, for the sake of this example, test case number 64 satisfies requirement number 12, then put a
large quot;Xquot; into cell 13-65 of your table... and then you have it; you have just created a requirements test
matrix template that you can use for cross-referencing purposes.
What metrics are used for bug tracking?
Metrics that can be used for bug tracking include the followings: the total number of bugs, total number of
bugs that have been fixed, number of new bugs per week, and the number of fixes per week. Metrics for
bug tracking can be used to determine when to stop testing, for example, when bug rate falls below a
certain level. You CAN learn to use defect tracking software.
26. 1. In QA team, everyone talks about process. What exactly they are taking about?
2. Are there any different type of process?
Answer1:
When you talk about quot;processquot; you are generally talking about the actions used to accomplish a task.
Here's an example: How do you solve a jigsaw puzzle?
You start with a box full of oddly shaped pieces. In your mind you come up with a strategy for matching
two pieces together (or no strategy at all and simply grab random pieces until you find a match), and
continue on until the puzzle is completed.
If you were to describe the *way* that you go about solving the puzzle you would be describing the
process.
Some follow-up questions you might think about include things like:
- How much time did it take you to solve the puzzle?
- Do you know of any skills, tricks or practices that might help you solve the puzzle quicker?
- What if you try to solve the puzzle with someone else? Does that help you go faster, or slower? (why or
why not?) Can you have *too* many people on this one task?
- To answer your second question, I'll ask *you* the question: Are there different ways that people can
solve a jigsaw puzzle?
There are many interesting process-related questions, ideas and theories in Quality Assurance. Generally
the identification of workplace processes lead to the questions of improvement in efficiency and
productivity. The motivation behind that is to try and make the processes as efficient as possible so as to
incur the least amount of time and expense, while providing a general sense of repeatability, visibility and
predictability in the way tasks are performed and completed.
The idea behind this is generally good, but the execution is often flawed. That is what makes QA so
interesting. You see, when you work with people and processes, it is very different than working with the
processes performed by machines. Some people in QA forget that distinction and often become
disillusioned with the whole thing.
If you always remember to approach processes in the workplace with a people-centric view, you should do
fine.
Answer2:
There is:
* Waterfall
* Spiral
* Rapid prototype
* Clean room
* Agile (XP, Scrum, ...)
What metrics are used for test report generation?
Metrics that can be used for test report generation include...
McCabe metrics: cyclomatic complexity metric (v(G)), actual complexity metric (AC), module design
complexity metric (iv(G)), essential complexity metric (ev(G)), pathological complexity metric (pv(G)),
design complexity metric (S0), integration complexity metric (S1), object integration complexity metric
(OS1), global data complexity metric (gdv(G)), data complexity metric (DV), tested data complexity metric
(TDV), data reference metric (DR), tested data reference metric (TDR), maintenance severity metric
(maint_severity), data reference severity metric (DR_severity), data complexity severity metric
(DV_severity), global data severity metric (gdv_severity).
McCabe object-oriented software metrics: encapsulation percent public data (PCTPUB), access to public
data (PUBDATA), polymorphism percent of unoverloaded calls (PCTCALL), number of roots
(ROOTCNT), fan-in (FANIN), quality maximum v(G) (MAXV), maximum ev(G) (MAXEV), and
hierarchy quality (QUAL).
Other object-oriented software metrics: depth (DEPTH), lack of cohesion of methods (LOCM), number of
children (NOC), response for a class (RFC), weighted methods per class (WMC), Halstead software
metrics program length, program volume, program level and program difficulty, intelligent content,
27. programming effort, error estimate, and programming time.
Line count software metrics: lines of code, lines of comment, lines of mixed code and comments, and lines
left blank.
What is quality plan?
Answer1:
the test plan is the document created before starting the testing process, it includes that types of testing that
will be performed, high level scope of the project, the envirnmental requirements of the testing process,
what automated testing tools will be used (If available), the schedule of each test, when it will start and end.
Answer2:
you should not only understand what a Quality Plan is, but you should understand why you're making it. I
don't beleieve that quot;because I was told to do soquot; is a good enough reason. If the person who told you to
create it can't tell you 1) what it is, and 2) how to create it, I don't think that they actually know why it's
needed. That breaks the primary rule of all plans used in testing:
We write quality plans for two very different purposes. Sometimes the quality plan is a product; sometimes
it's a tool. It's too easy, but also too expensive, to confuse these goals.
If it's not being used as a tool, don't waste your time (and your company's money) doing this.
What is the difference between verification and validation?
Verification takes place before validation, and not vice versa.
Verification evaluates documents, plans, code, requirements, and specifications. Validation, on the other
hand, evaluates the product itself.
The inputs of verification are checklists, issues lists, walkthroughs and inspection meetings, reviews and
meetings. The input of validation, on the other hand, is the actual testing of an actual product.
The output of verification is a nearly perfect set of documents, plans, specifications, and requirements
document. The output of validation, on the other hand, is a nearly perfect, actual product.
What is the difference between efficient and effective?
quot;Efficientquot; means having a high ratio of output to input; which means working or producing with a
minimum of waste. For example, quot;An efficient engine saves gas.quot; Or, quot;An efficient test engineer saves
timequot;.
quot;Effectivequot;, on the other hand, means producing or capable of producing an intended result, or having a
striking effect. For example, quot;For rapid long-distance transportation, the jet engine is more effective than a
witch's broomstickquot;. Or, quot;For developing software test procedures, engineers specializing in software
testing are more effective than engineers who are generalistsquot;.
How effective can we implement six sigma principles in a very large software services organization?
Answer1:
Effective way of implementing sixsigma.
there are quite a few things one needs
1. management buyin
2. dedicated team both drivers as well as adopters
3. training
28. 4. culture building - if you have a pro process culture, life is easy
5. sustained effort over a period towards transforming, people, thoughts and actions Personally technical
content is never a challenge, but adoption is a challenge.
Answer2:
quot;Six sigmaquot; is a combination of process recommendations and mathematical model. The name quot;six sigmaquot;
reflects the notion of reducing variation so much that errors -- events out of tolerance -- are six standard
deviations from a desired mean. The mathematics are at the core of the process implementation.
The problem is that software is not hardware. Software defects are designed in, not the result of
manufacturing variation.
The other side of six sigma is the drive for continuous improvement. You don't need the six sigma math for
this and the concept has been around long before the six sigma movement.
To improve anything, you need some type of indicator of its current state and a way to tell that it is
improved. Plus determination to improve it. Management support helps.
Answer3:
There are different methodologies adopted in sixsigma. However, it is commonly referenced from the
variance based approach. If you are trying to look at sixsigma from that, for software services,
fundamentally the measurement system should be reliable - industry has not reached the maturity level of
manufacturing industry where it fits to a T. The differences between SW and HW/manufacturing industry
is slightly difficult to address.
There are some areas you can adopt sixsigma in its full statistical form(eg in-process error rate, productivity
improvements etc), some areas are difficult.
The narrower the problem area is, the better it gets even in software services to address adopting the
statistical method.
There are methodologies that have a bundle of tools,along with statistical techniques, are used on the full
SDLC.
A generic observation is ,SS helps if we look for proper fitment of methodology for the purpose. Else
doubts creep in
What stage of bug fixing is the most cost effective?
Bug prevention techniques (i.e. inspections, peer design reviews, and walk-throughs) are more cost
effective than bug detection.
What is Defect Life Cycle.?
Answer1:
Defect life cycle is....different stages after a defect is identified.
New (When defect is identified)
Accepted (when Development team and QA team accepts it's a Bug)
In Progress (when a person is working to resolve the issue-defect)
Resolved (once the defect resolved)
Completed (Some one who can take up the responsibly Team lead)
Closed/reopened (Retested by TE and he will update the Status of the bug)
Answer2:
Defect Life Cycle is nothing but the various phases a Bug undergoes after it is raised or reported.
A general Interview answer can be given as:
1. New or Opened
2. Assinged
3. Fixed
29. 4. Tested
5. Closed.
What is the difference between a software bug and software defect?
quot;Software bugquot; is nonspecific; it means an inexplicable defect, error, flaw, mistake, failure, fault, or
unwanted behavior of a computer program. Other terms, e.g. quot;software defectquot;, or quot;software failurequot;, are
more specific.
While the word quot;bugquot; has been a part of engineering jargon for many-many decades; many-many decades
ago even Thomas Edison, the great inventor, wrote about a quot;bugquot; - today there are many who believe the
word quot;bugquot; is a reference to insects that caused malfunctions in early electromechanical computers.
What is the difference between a software bug and software defect?
In software testing, the difference between quot;bugquot; and quot;defectquot; is small, and also depends on the end client.
For some clients, bug and defect are synonymous, while others believe bugs are subsets of defects.
Difference number one: In bug reports, the defects are easier to describe.
Difference number two: In my bug reports, it is easier to write descriptions as to how to replicate defects. In
other words, defects tend to require only brief explanations.
Commonality number one: We, software test engineers, discover both bugs and defects, before bugs and
defects damage the reputation of our company.
Commonality number two: We, software QA engineers, use the software much like real users would, to
find both bugs and defects, to find ways to replicate both bugs and defects, to submit bug reports to the
developers, and to provide feedback to the developers, i.e. tell them if they've achieved the desired level of
quality.
Commonality number three: We, software QA engineers, do not differentiate between bugs and defects. In
our reports, we include both bugs and defects that are the results of software testing.
Are developers smarter than tester? Any suggestion about the future prospects and technicality
involvedin the testing job?
Answer1:
QA & Testing are thankless jobs. In a software development company developer is a core person. As you
are a fresh graduate, it would be good for you to work as a developer. From development you can always
move to testing or QA or other admin/support tasks. But from Testing or QA it is little difficult to go back
to development, though not impossible(as u are BE comp)
Seeing the job market, it is not possible for each & every fresher to get into development. But you can keep
searching for it.
Some big company's have seperate Verifiction & Validation groups where only testing projects are
executed. Those teams have TLs, PLs who are testing experts. They earn good salary same as development
people.
In technical projects the testing team does lot of technical work. You can do certifications to improve your
technical skills & market value.
It all depends on your way of handling things & interpersonal, communication and leadership skills. If it is
difficult for you to get a job in developement or you really like testing, just go ahead. Try to achieve
excellence as a testing professional. You will never have a job problem .Also you will always get onsite
opportunities too!! Yuo might have to struggle for initial few years like all other freshers.
Answer2:
QA and Testing are thankless only in some companies.
Testing is part of development. Rather than distinguish between testing and development,distinguish
between testing and programming.
Programming is also thankless in some companies.