The document discusses quality management in software development. It describes the three main components of quality management as quality assurance, quality control, and quality improvement. Quality assurance focuses on establishing processes to ensure quality, while quality control examines outputs to ensure they meet requirements. The software development lifecycle involves requirements analysis, design, coding, testing, implementation, and maintenance phases to develop quality software. Different testing methods like black box, white box, and grey box testing are used during the testing phase.
The document discusses the Software Testing Life Cycle (STLC) process. There are 6 major phases in the STLC model: requirement analysis, test planning, test case development, test environment setup, test execution, and test closure activities. The goal of the STLC is to ensure software quality goals are met by conducting a sequence of testing activities. Key steps include understanding requirements, creating test plans and cases, setting up testing environments, executing tests, and closing out testing upon product delivery.
Software testing involves verifying that software meets requirements and works as intended. There are various testing types including unit, integration, system, and acceptance testing. Testing methodologies include black box testing without viewing code and white box testing using internal knowledge. The goal is to find bugs early and ensure software reliability.
Software testing is the primary process that to learn by all the beginners who are aspiring about testing. It is a process that we want to find the errors during the time of program or application executes. It is also said to be the validating and verifying the software implementation and program. The testing is mainly following during the time of validating product quality. The best software testing course is providing by the instructors under different categories for the learners to learn more about the details on testing. Here some of the sessions are to be following such as technology without coding, tester foundation level training for the beginners, etc.
The document discusses software testing. It defines software testing as verifying and validating that a software application meets requirements and works as expected. The main purposes of testing are verification, validation, and defect finding. Verification ensures the software meets technical specifications, while validation ensures it meets business requirements. Defect finding identifies variances between expected and actual results. The document also discusses different testing methodologies like black box and white box testing and different testing levels like unit, integration, and system testing.
The document discusses the Software Development Life Cycle (SDLC) and various aspects of software testing. It describes the different phases of SDLC like requirements, design, coding, testing and maintenance. It also explains different SDLC models like waterfall, spiral, prototype and V-model. The document then focuses on testing, covering topics like test planning, test cases, different levels of testing (unit, integration, system), types of testing (black box, white box, regression), and non-functional testing.
The document discusses software testing and provides details on various aspects of software testing such as:
1) The objectives of software testing including uncovering errors, demonstrating software matches requirements, and validating quality with minimum cost.
2) Different levels of software testing from unit to integration to system testing.
3) Key aspects of software testing like test plans, test cases, test types (black box vs white box), and testing methodologies.
software testing is necessary to make sure the product or application is defect free, as per customer specifications. Software testing identifies fault whose removal increases the software Quality and Increases the software reliability.Testing effort is directly proportional to the complexity of the program.
The document provides an overview of topics related to software quality assurance including software testing strategies, project management, risk management, and maintenance. It discusses software quality assurance and defines verification and validation. It describes different testing types like unit testing, integration testing, system testing, and validation testing. It also covers ISO standards for testing, SQA plans, testing goals and attributes. Finally, it discusses testing approaches, strategies for validation testing, and the goals of system testing.
A Research Study on importance of Testing and Quality Assurance in Software D...Sehrish Asif
A Research Study on importance of Testing and Quality Assurance in Software Development Life Cycle (SDLC) Models & Quality Assurance for Product Development using Agile & A Software Quality Framework for Mobile Application Testing
This document provides an overview of quality assurance frameworks for software development. It discusses key concepts like quality, software quality assurance, and its components including software testing, quality control, and software configuration management. It also describes a software quality assurance plan and quality standards like ISO9000, CMM, PCMM, and CMMI. The document is presented by Ketan Mehta from Heritage Institute of Technology in Kolkata and covers an agenda including definitions of quality and SQA, their components, SQA plans, and quality standards.
Software quality assurance (SQA) consists of monitoring software engineering processes and auditing quality management systems to ensure quality. SQA measures the quality of processes used to create software and includes activities like reviewing requirements, software testing, design, coding, source code control, code reviews, change management, configuration management, and release management. Quality control differs from SQA in that it measures the quality of the product and includes peer reviews, validation testing, data comparison, stress testing, and usability testing to identify defects. SQA helps improve customer satisfaction and reduces costs of development and maintenance.
This document provides information on software testing fundamentals including the V-Model, definitions of software testing terms, the role of a tester, and verification and validation activities. It discusses the software testing life cycle including test requirements documentation, planning, design, execution, and defect tracking. It also covers topics like static and dynamic testing, white box and black box testing, requirement reviews, design reviews, and code reviews. Key aspects reviewed for requirements, design, and code include completeness, consistency, testability, and adherence to standards.
This document provides an overview of software testing concepts for beginners. It defines key terms like quality, testing, and standards. It describes different testing levels from unit to system testing. It also covers software development lifecycles, quality principles, project management, and configuration management. The goal is to introduce software testing fundamentals and processes.
This document provides an overview of software testing concepts for beginners. It defines key terms like quality, testing standards, and the cost of quality. It describes common software problems, testing objectives, and the roles of testers. It also explains software development lifecycles, quality assurance vs quality control, capability maturity models, and risk management best practices. The goal is to introduce foundational testing fundamentals and processes to those new to the field.
This document discusses various topics related to software testing and verification and validation (V&V). It begins with an overview of test plan creation and different types of testing such as unit, integration, system, and object-oriented testing. It then defines the key differences between verification and validation. The rest of the document provides more details on V&V techniques like static and dynamic verification, software inspections, and testing. It also covers testing fundamentals, principles, testability factors, and different testing techniques like black-box and white-box testing.
The document discusses software development lifecycles and strategies. It describes:
1) Common lifecycle activities like planning, development, testing and maintenance. Different models can be used depending on the product.
2) Solution strategies are developed to determine the nature of possible solutions and provide a framework for design and implementation. The best strategies are developed by trained groups using techniques like brainstorming.
3) The phased lifecycle model involves a series of defined activities with inputs, processes, and outputs at each phase. Resources are required to complete each defined phase.
The document discusses various aspects of planning and managing the software development process, including:
1) Developing a solution strategy and selecting a software life cycle model to provide a framework for the project.
2) Common software life cycle activities like planning, development, testing, and maintenance.
3) Using milestones, documents, and reviews to improve project visibility and management.
4) Organizing development tasks and teams using different structures like project, functional, and matrix formats.
This document discusses software quality assurance (SQA). It defines SQA as a planned set of activities to provide confidence that software meets requirements and specifications. The document outlines important software quality factors like correctness, reliability, and maintainability. It describes SQA objectives in development and maintenance. Key principles of SQA involve understanding the development process, requirements, and how to measure conformance. Typical SQA activities include validation, verification, defect prevention and detection, and metrics. SQA can occur at different levels like testing, validation, and certification.
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.
Conservation of Taksar through Economic RegenerationPriyankaKarn3
This was our 9th Sem Design Studio Project, introduced as Conservation of Taksar Bazar, Bhojpur, an ancient city famous for Taksar- Making Coins. Taksar Bazaar has a civilization of Newars shifted from Patan, with huge socio-economic and cultural significance having a settlement of about 300 years. But in the present scenario, Taksar Bazar has lost its charm and importance, due to various reasons like, migration, unemployment, shift of economic activities to Bhojpur and many more. The scenario was so pityful that when we went to make inventories, take survey and study the site, the people and the context, we barely found any youth of our age! Many houses were vacant, the earthquake devasted and ruined heritages.
Conservation of those heritages, ancient marvels,a nd history was in dire need, so we proposed the Conservation of Taksar through economic regeneration because the lack of economy was the main reason for the people to leave the settlement and the reason for the overall declination.
Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large...YanKing2
Pre-trained Large Language Models (LLM) have achieved remarkable successes in several domains. However, code-oriented LLMs are often heavy in computational complexity, and quadratically with the length of the input code sequence. Toward simplifying the input program of an LLM, the state-of-the-art approach has the strategies to filter the input code tokens based on the attention scores given by the LLM. The decision to simplify the input program should not rely on the attention patterns of an LLM, as these patterns are influenced by both the model architecture and the pre-training dataset. Since the model and dataset are part of the solution domain, not the problem domain where the input program belongs, the outcome may differ when the model is trained on a different dataset. We propose SlimCode, a model-agnostic code simplification solution for LLMs that depends on the nature of input code tokens. As an empirical study on the LLMs including CodeBERT, CodeT5, and GPT-4 for two main tasks: code search and summarization. We reported that 1) the reduction ratio of code has a linear-like relation with the saving ratio on training time, 2) the impact of categorized tokens on code simplification can vary significantly, 3) the impact of categorized tokens on code simplification is task-specific but model-agnostic, and 4) the above findings hold for the paradigm–prompt engineering and interactive in-context learning and this study can save reduce the cost of invoking GPT-4 by 24%per API query. Importantly, SlimCode simplifies the input code with its greedy strategy and can obtain at most 133 times faster than the state-of-the-art technique with a significant improvement. This paper calls for a new direction on code-based, model-agnostic code simplification solutions to further empower LLMs.
Understanding Cybersecurity Breaches: Causes, Consequences, and PreventionBert Blevins
Cybersecurity breaches are a growing threat in today’s interconnected digital landscape, affecting individuals, businesses, and governments alike. These breaches compromise sensitive information and erode trust in online services and systems. Understanding the causes, consequences, and prevention strategies of cybersecurity breaches is crucial to protect against these pervasive risks.
Cybersecurity breaches refer to unauthorized access, manipulation, or destruction of digital information or systems. They can occur through various means such as malware, phishing attacks, insider threats, and vulnerabilities in software or hardware. Once a breach happens, cybercriminals can exploit the compromised data for financial gain, espionage, or sabotage. Causes of breaches include software and hardware vulnerabilities, phishing attacks, insider threats, weak passwords, and a lack of security awareness.
The consequences of cybersecurity breaches are severe. Financial loss is a significant impact, as organizations face theft of funds, legal fees, and repair costs. Breaches also damage reputations, leading to a loss of trust among customers, partners, and stakeholders. Regulatory penalties are another consequence, with hefty fines imposed for non-compliance with data protection regulations. Intellectual property theft undermines innovation and competitiveness, while disruptions of critical services like healthcare and utilities impact public safety and well-being.
Software Engineering and Project Management - Introduction to Project ManagementPrakhyath Rai
Introduction to Project Management: Introduction, Project and Importance of Project Management, Contract Management, Activities Covered by Software Project Management, Plans, Methods and Methodologies, some ways of categorizing Software Projects, Stakeholders, Setting Objectives, Business Case, Project Success and Failure, Management and Management Control, Project Management life cycle, Traditional versus Modern Project Management Practices.
An Internet Protocol address (IP address) is a logical numeric address that is assigned to every single computer, printer, switch, router, tablets, smartphones or any other device that is part of a TCP/IP-based network.
Types of IP address-
Dynamic means "constantly changing “ .dynamic IP addresses aren't more powerful, but they can change.
Static means staying the same. Static. Stand. Stable. Yes, static IP addresses don't change.
Most IP addresses assigned today by Internet Service Providers are dynamic IP addresses. It's more cost effective for the ISP and you.
A brief introduction to quadcopter (drone) working. It provides an overview of flight stability, dynamics, general control system block diagram, and the electronic hardware.
OCS Training Institute is pleased to co-operate with
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Development of Chatbot Using AI/ML Technologiesmaisnampibarel
The rapid advancements in artificial intelligence and natural language processing have significantly transformed human-computer interactions. This thesis presents the design, development, and evaluation of an intelligent chatbot capable of engaging in natural and meaningful conversations with users. The chatbot leverages state-of-the-art deep learning techniques, including transformer-based architectures, to understand and generate human-like responses.
Key contributions of this research include the implementation of a context- aware conversational model that can maintain coherent dialogue over extended interactions. The chatbot's performance is evaluated through both automated metrics and user studies, demonstrating its effectiveness in various applications such as customer service, mental health support, and educational assistance. Additionally, ethical considerations and potential biases in chatbot responses are examined to ensure the responsible deployment of this technology.
The findings of this thesis highlight the potential of intelligent chatbots to enhance user experience and provide valuable insights for future developments in conversational AI.
How to Manage Internal Notes in Odoo 17 POSCeline George
In this slide, we'll explore how to leverage internal notes within Odoo 17 POS to enhance communication and streamline operations. Internal notes provide a platform for staff to exchange crucial information regarding orders, customers, or specific tasks, all while remaining invisible to the customer. This fosters improved collaboration and ensures everyone on the team is on the same page.
2. Quality-management is method for ensuring quality
of software and its devlpopement process.
It has three main Components:
Quality Assurance
Quality Control
Quality Improvement
3. Quality Assurance
It is the activity of providing evidence needed to establish quality in work.
QA includes implementations of process, procedures to verification of
developed software and its requirements.
QA is to examine the process that create and shape the product.
Quality assurance looks at the quality of output , as well as at the quality of
input.
Quality assurance covers all activities from design, development, production,
installation, servicing and documentations.
So last for QA I can say it is “ FIT FOR PURPOSE “
4. Quality Control
Quality Control is a process to ensure a certain level of Quality in a product or a
service.
It includes activities that ensure the software with respect to requirement.
Means we can say that the basic goal of quality control is to ensure that the
products ,services, or process provided meet specific requirements.
It is Product base activity.
Quality control involves the examinations of product, service, or process for
minimum level of quality.
5. QA VS QC
Quality Assurance:
It is process oriented activity
Focuses on process and
procedures rather than actual
testing on system.
It is preventive activity .
Audit ,Review is an example of
Quality assurance.
Quality control:
It is product oriented activity
Focuses on actual testing by
executing software for identify
bug/defect through
implementation of process.
It is corrective process.
Testing is part of quality control.
6. Software Development Lifecycle (SDLC)
SDLC is a flow for software project, it consists of detailed plan describing how to develop,
maintain software
The Lifecycle defines process for improving quality of software and overall development
process.
It states the starting point and ending point of any software development
Each phase in software development process has defined input and output.
8. Different Stages in SDLC
Requirement analysis
Software Design
Coding
Testing
Implementation
Maintenance
9. Requirement analysis
In this phase the requirement of clients are obtained, analyzed,
documented and validated.
The requirement should be clear for developing quality software
Requirement analysis is the most important and fundamental stage in
SDLC. It is performed by the senior members of the team with inputs
from the customer, the sales department, market surveys and domain
experts in the industry. This information is then used to plan the basic
project approach and to conduct product feasibility study in the
economical, operational and technical areas.
Input – Customer requirement
process-Analysis of the requirement
output – Software requirement specification
10. Software Design
Software design involves development of architecture , flow of the application
While Designing the software it needs to consider different aspect of application
such as usability , performance , security compatibility and the database
Input-software requirement specification (SRS)
process-Design the software
output-software Design document and internal design (coding)
11. Coding
After the software design ,the developer develops code as per the design
specification.
Input: software design
process: Developing Code
Output: source code
12. Testing
In this phase the software tested to ensure that it meets customer
requirement.
In this each unit or module tested independently .
Input: Executable code
process : Testing
output : Testcases
13. Maintenance
In this phase the customer need some modification in the existing
system. And again the requirement needs to be analyzed ,design ,
developed , the code and test as well as previous code.
16. Three Methods Used for test the software
Black box testing(functional testing)
-Test to the specification
White box testing(Structural
testing)
- Test to the code
Grey Box testing
17. Black Box Testing
Black box testing is known as functional testing and mostly focus on the
functionally aspect of application.
IN this set of input condition are entered to find the behavior of the
application
Black box testing is strategy used for designing the test cases based on
the specifications
IN this technique tester is unaware of internal structure of system.
18. White box testing
White box testing is testing technique that examines the program
structure.
Exercise all logical decision in their true and false sides.
Exercise internal data structure to ensure their validity.
19. Grey Box Testing
Grey Box testing is testing technique performed with limited information
about the internal functionality of the system. Grey Box testers have
access to the detailed design documents along with information about
requirements.