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
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.
Software development process models
Rapid Application Development (RAD) Model
Evolutionary Process Models
Spiral Model
THE FORMAL METHODS MODEL
Specialized Process Models
The Concurrent Development Model
The document discusses key concepts in software quality including:
1) The relationships between software errors, faults, and failures and their causes during development.
2) The importance of software quality and quality assurance objectives like defect prevention and removal.
3) Quality assurance techniques like verification, validation, inspections, testing and standards to evaluate conformance.
4) How quality is managed through metrics, process engineering, and cost controls.
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
This document discusses testing and quality assurance for ERP modules. It provides an overview of the testing process roadmap, including establishing requirements and project scope, test planning, case development, different types of testing like unit, integration and user acceptance testing. It also outlines the personnel involved in testing like QA managers, analysts, writers. Metrics for test development and execution are also covered.
The document discusses software quality and achieving high quality software. It notes that software companies often deliver software with known bugs and that low quality software increases risks for developers and users. It also discusses the costs of quality and how management decisions impact quality. Achieving quality involves software engineering methods, project management techniques, quality control, and quality assurance. Reviews, testing, and validation are important parts of the quality process.
Ch 7 integrating quality activities in the projectlife cycleKittitouch Suteeca
The document describes Kittitouch S.'s software engineering course covering various topics:
- Software development methodologies like waterfall, prototyping, spiral, and object-oriented models.
- Factors affecting quality assurance activities and models for quality assurance planning.
- Key software engineering concepts like verification, validation, and qualification.
- A model for evaluating the effectiveness and costs of software quality assurance plans and defect removal activities.
The document includes three revisions by Kittitouch between January and May 2012 with added topics in each revision.
The document discusses software quality management and outlines five units: introduction to software quality; software quality assurance; quality control and reliability; quality management systems; and quality standards. It defines quality, discusses hierarchical models of quality including those proposed by Boehm and McCall, and explains techniques for improving software quality like metrics, reviews, and standards.
This document discusses software quality assurance. It defines software quality and describes two types - quality of design and quality of conformance. It discusses quality concepts at the organizational, project, and process levels. It also describes software reviews, their types and purposes. Software quality assurance aims to establish organizational procedures and standards to achieve high quality software. Key SQA activities include applying technical methods, reviews, testing, enforcing standards and measurement.
This document discusses the fundamentals of software quality assurance including ethical bases, quality concepts, quality control, quality assurance, cost of quality, and total quality management principles. It defines key terms like quality, quality control, quality assurance, defines two types of quality (design and conformance), and describes the goals and tasks of quality assurance groups to help software engineering teams achieve high quality products.
This document discusses software quality infrastructure components and procedures and work instructions. It provides details on:
- The need for standardized procedures to efficiently perform tasks and communicate between teams.
- A conceptual hierarchy from international standards to organizational policies to procedures to work instructions.
- The contents and organization of procedures manuals and work instruction manuals.
- Training, certification, and performance follow-up of staff to ensure conformity with standards.
- Software configuration management including identifying software configuration items, controlling changes, and releasing versions.
Quality Management in Software Engineering SE24koolkampus
This document discusses quality management in software development. It covers quality assurance and standards, quality planning, quality control, software measurement and metrics. Quality management aims to ensure the required level of quality is achieved in software products by defining quality standards and procedures and making quality everyone's responsibility. Standards are key to effective quality management as they encapsulate best practices and provide a framework for quality assurance processes. Quality reviews and software measurement are important for quality control.
This document discusses software engineering and software quality assurance. It begins by defining software and describing a case study on the Therac-25 radiation therapy machine which suffered from a software failure disaster. It then covers classification of causes of software errors, definitions of software quality from IEEE and Pressman, and objectives of SQA activities. Key causes of errors listed include faulty requirements, client-developer communication failures, deliberate deviations from requirements, logical design errors, coding errors, non-compliance with documentation, shortcomings in testing, procedure errors, and documentation errors. The document also discusses definitions of quality assurance and quality control and the goals of SQA in software development and maintenance.
What is Quality ||
Software Quality Metrics ||
Types of Software Quality Metrics ||
Three groups of Software Quality Metrics ||
Customer Satisfaction Metrics ||
Tools used for Quality Metrics/Measurements ||
PERT and CPM ||
The document discusses software quality and defines key aspects:
- It explains the importance of software quality for users and developers.
- Qualities like correctness, reliability, efficiency are defined.
- Methods for measuring qualities like ISO 9126 standard are presented.
- Quality is important throughout the software development process.
- Both product quality and process quality need to be managed.
The document provides an overview of the Capability Maturity Model Integration (CMMI) framework. CMMI is an industry standard for improving product quality and development processes. It consists of best practices for systems engineering, software engineering, integrated product and process development, and supplier sourcing. CMMI models an organization's processes at five maturity levels from initial to optimizing. Higher levels indicate more disciplined, defined, and quantitatively managed processes. The document outlines the CMMI components and structure, describes each maturity level and associated process areas, and discusses tips for successful CMMI implementation.
The document discusses several software development life cycle (SDLC) models including Waterfall, V-Shaped, Prototyping, Rapid Application Development (RAD), Incremental, and Spiral models. For each model, it describes the key steps, strengths, weaknesses, and when each model is best applied. The models range from traditional sequential models like Waterfall to more iterative models like Prototyping and RAD.
The document discusses the need for software configuration management to control changes, versions, and revisions during development. It describes the basic functions of configuration management including configuration control, change management, revisions, versions, deltas, and conditional code. The roles and responsibilities of the configuration manager, module owners, and change control board in software configuration management are also outlined.
The document discusses various topics related to software quality management including defining software products and processes, important quality attributes, quality assurance and standards, quality planning and control, software testing, inspections and reviews, software measurement and metrics, and the role of formal methods. Quality is defined as a product meeting its specifications and having required quality attributes. Both product and process quality are important and various activities help ensure quality is achieved.
This document discusses software quality assurance. It defines software quality and quality assurance. The three general principles of quality assurance are knowing what you are doing, knowing what you should be doing, and knowing how to measure the difference. Quality assurance techniques include formal methods, testing, inspection, and metrics. These techniques are applied through a software process and the different phases of the software development lifecycle, including requirements, design, implementation, and testing. Verification ensures the product is being built correctly while validation ensures the right product is being built.
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.
The document provides an overview of software testing, including common software problems, objectives and principles of testing, quality assurance vs quality control, software development life cycles, project management, and risk management. It discusses what testing is, why it's necessary, who does it, objectives of testing, types of problems found, quality principles, life cycles like waterfall and V-model, project planning, scheduling, staffing, and identifying, analyzing and managing risks.
This document summarizes key aspects of quality management and software engineering based on a textbook. It discusses definitions of software quality, types of quality (design and conformance), the costs of quality, software quality assurance techniques like reviews and inspections, roles of a software quality assurance group, metrics for reviews, standards like ISO 9001, change management, software configuration management, and baselines.
This document provides a review of systematic quality software designing and development practices. It discusses software engineering processes, quality processes, design and development modeling approaches, and related works. The key points are:
1) Software engineering processes aim to ensure quality, meet deadlines, and manage expectations through defined stages and deliverables. Common models include waterfall, spiral, and agile.
2) Software quality processes evaluate and improve aspects like reliability, maintainability, and interoperability. Metrics and techniques are used to measure qualities.
3) Design and development involve life cycles, methods, and notations to systematically model requirements, architecture, and implementation. Waterfall and rapid prototyping are example models.
This document discusses software testing principles and concepts. It defines key terms like validation, verification, defects, failures, and metrics. It outlines 11 testing principles like testing being a creative task and test results needing meticulous inspection. The roles of testers are discussed in collaborating with other teams. Defect classes are defined at different stages and types of defects are provided. Quality factors, process maturity models, and defect prevention strategies are also summarized.
The document discusses software quality assurance. It defines quality assurance as a process that works parallel to software development to improve processes and prevent problems. It describes the key elements of SQA like reviews, audits, testing, error analysis and change management. Benefits include producing high quality software that saves time and cost while being reliable. Trade-offs must be made between factors like workload, resources and project completion time. Failure analysis determines the root causes of failures to prevent future issues.
Software Engineering Practices and Issues.pptxNikilesh8
The document discusses planning for a software project. It emphasizes the importance of careful planning to clarify goals, needs and constraints. This helps avoid issues like schedule slippage and cost overruns. The planning process involves defining the problem, developing solution strategies, and planning the development process. Goals and requirements are also important to establish. Goals can be qualitative or quantitative, and apply to both the development process and final product. Requirements specify necessary system capabilities and can be functional, for performance or interfaces. High-level goals and requirements are often expressed in terms of quality attributes like reliability, efficiency and usability.
This document discusses key concepts in software quality management including defining quality, indicators of high-quality software, common quality dilemmas, approaches to achieving quality like quality assurance and control, and standards like ISO 9001:2000. It outlines objectives like explaining quality principles, discussing quality indicators, presenting real-life quality challenges, describing activities to improve quality, and elaborating on software quality assurance.
This document discusses various concepts related to software quality management including quality, quality control, quality assurance, cost of quality, software quality assurance, statistical software quality assurance (SQA), quality evaluation standards like Six Sigma and ISO 9000 for software, Capability Maturity Model Integration (CMMI), and McCall's quality factors. It provides definitions and explanations of these concepts as well as activities involved in SQA like preparing an SQA plan and auditing software work products.
This document provides an overview of key topics in software quality assurance including the cost of quality, definitions, the purpose and contents of an SQA plan. The SQA plan aims to ensure the desired quality of software products and development processes. It describes procedures, standards, reviews, problem reporting and resolution processes, configuration management, and other quality control methods. Maintaining thorough documentation, tracking issues, and ensuring supplier quality are important aspects covered in an SQA plan.
SQA Lecture 01 (Introduction) - Testing and SQAsunena224
This document outlines the course details for CS-417 Software Quality Assurance taught at Iqra University. The course covers topics related to software quality assurance including introduction, principles, practices, standards, planning, verification, validation, testing techniques, inspections, reviews and making reviews most effective. The learning objectives are also listed which involve understanding the differences between verification and validation and being able to apply the appropriate techniques. References for recommended textbooks on the topic are also provided.
free training on Quality Management systems in software industry.Iso 9000,ISO...aaditya
Concerned with ensuring that the required level of quality is achieved in a software product.
Involves defining appropriate quality standards and procedures and ensuring that these are followed.
Should aim to develop a ‘quality culture’ where quality is seen as everyone’s responsibility.
The document introduces quality management processes and activities including quality assurance, standards, quality planning, and quality control. It explains that quality management aims to ensure the required level of quality is achieved in a software product by defining standards and procedures. Quality management is important for large, complex systems to support continuity as teams change.
Quality management involves defining quality standards and procedures to ensure a required level of quality is achieved in software products. This includes activities like quality assurance to establish standards, quality planning to select applicable standards for a project, and quality control to ensure standards are followed. Software measurement can be used to assess quality by collecting metrics on the development process and product attributes, but accurately relating measurements to quality is challenging due to complex relationships between processes and outcomes.
Quality management involves defining quality standards and procedures to ensure a quality product. This includes quality assurance, establishing standards, quality planning, and quality control such as reviews and metrics. Measurement can assess software quality but relationships between what is measured and quality attributes are complex, and metrics have limitations and rarely predict quality directly.
The Capability Maturity Model (CMM) is a framework for judging the maturity of an organization's software processes. It describes five levels of process maturity from initial to optimized. At each level, key process areas must be addressed to continuously improve the organization's software processes and capabilities. Regular measurement of process attributes like size, effort, schedule, quality, and defects is important for quantitatively managing processes and achieving higher maturity levels.
Similar to Software quality assurance lecture 1 (20)
The document provides an overview of common Git commands for initializing and cloning repositories, tracking changes, viewing history, branching and merging, and working with remote repositories. It introduces commands for initializing and cloning repositories (git init, git clone), making and viewing changes (git add, git commit, git status, git diff), viewing history (git log), branching and merging (git branch, git checkout, git merge), and interacting with remote repositories (git remote, git fetch, git pull, git push).
This document provides a cheat sheet of common Git commands organized into categories like setup, initialization, branching, sharing/updating, tracking changes, and rewriting history. It summarizes the purpose and basic usage of commands like git init, git add, git commit, git branch, git fetch, git merge, git push, and git log. The cheat sheet is intended to serve as a quick reference guide for the most important and frequently used Git commands.
Static white-box testing involves carefully reviewing software design, architecture, or code without executing it to find bugs. It provides access to internal code to find bugs early that may be difficult to discover with black-box testing alone. Formal reviews are the primary method, ranging from peer reviews between two programmers to inspections with multiple trained reviewers following strict roles and procedures to thoroughly check for problems from different perspectives. Checklists cover common errors like uninitialized variables, out-of-bounds array indexing, data type mismatches, computation overflows, and incorrect control flow or parameter handling.
The document discusses various aspects of web testing including:
1) Features that make websites complex such as customizable layouts, dynamic content, and compatibility with different browsers and devices.
2) The basics of web testing including treating each page as a "black box" and creating a state table to map connections between pages.
3) Elements to test on web pages including text, hyperlinks, graphics, forms, and other features; and ensuring proper loading, sizing, and functionality across different browsers, versions, and devices.
Types of software documentation include packaging, marketing materials, warranties, end user license agreements, labels, installation instructions, user manuals, online help, tutorials, samples, examples, and error messages. Software documentation is an important part of the overall software product that users interact with. Good documentation improves usability, reliability, and lowers support costs by helping users understand and correctly use the software. As a software tester, documentation should be treated with the same level of attention and testing as the code itself to ensure a high quality overall product.
A secure product protects customers' information and system resources from unauthorized access. As a software tester, it is important to understand why hackers may try to break into software in order to think of where security vulnerabilities could exist. Threat modeling involves assembling a team to identify assets, architecture, potential threats, and their risks to find areas of the software's features that may be vulnerable to security issues. Testing for security bugs should approach testing as "test-to-fail" by attacking the software like a hacker would to assume every feature could have a vulnerability.
The document discusses fundamentals of testing, including black-box and white-box testing techniques. It also provides details on reviewing product specifications, such as pretending to be the customer, researching standards and guidelines, and reviewing similar software. Key aspects to check in specifications include completeness, accuracy, and precision. Testing techniques covered include equivalence partitioning and boundary value analysis for black-box testing and unit testing, code analysis and coverage for white-box.
The document discusses test planning and outlines several topics that should be addressed in a test plan, including high-level expectations, people and resources, definitions, test phases and strategies, resource requirements, tester assignments, schedules, test cases, bug reporting, metrics, and risks. The overall goal of test planning is to communicate the testing team's intentions, expectations, and understanding of the testing to be performed.
The document discusses the importance of carefully planning test cases for software testing. It outlines four key reasons for planning test cases: organization, repeatability, tracking, and proving testing was conducted. It also discusses the IEEE 829 standard for test design, test cases, and test procedures. The standard provides guidance on what information should be included in test cases, such as identifiers, test items, input/output specifications, and dependencies. It also outlines what should be covered in test procedures, including purpose, procedure steps, logging results, and contingencies.
Software testing involves several key activities: (1) defining test plans and cases to evaluate software attributes and capabilities, (2) executing tests to uncover errors manually or automatically, and (3) analyzing and reporting test results. The objectives of testing include finding errors, validating requirements are met, and ensuring quality. Testers, engineers, and quality assurance groups all perform various testing roles and activities throughout the software development lifecycle. Effective testing requires independence, planning, and understanding that complete testing is impossible due to risks and limitations of time and resources.
Compatibility testing ensures that software interacts correctly with other programs. This includes sharing data through various methods such as saving to different file formats, copying and pasting between programs, and transferring data using standards like DDE and OLE. Thorough testing is needed to check compatibility with other platforms, applications, and versions based on high-level standards for user experience as well as low-level technical standards for file formats and communication protocols.
Dynamic black-box testing involves testing software without knowledge of its internal code by entering inputs, observing outputs, and checking results. The document discusses techniques for effective dynamic black-box testing including reducing test cases using equivalence partitioning, identifying boundary conditions, using various data values and states to find bugs, and applying repetition and high loads. It also covers using exploratory testing when requirements are not available and the approaches of test-to-pass and test-to-fail.
Automated testing and test tools can speed up the testing process, improve efficiency and accuracy, reduce resource needs, and enable simulation. While tools are not a replacement for testers, they can help testers perform their jobs better. It is important to note that using tools is not always the right choice, and manual testing is still needed in some cases.
The document discusses why testing software is important by providing examples of bugs and failures that could have been avoided with better testing, such as missing names on checks and data conversion errors that caused satellite failures. It then outlines the types of questions testing aims to answer about software functionality, user experience, performance, and readiness. Testing helps identify defects early to save time and money, avoid downtime, and build better applications that satisfy users.
Git is a version control system that allows for branching and merging of code. GitHub is a hosting service for Git repositories that enables collaboration through features like forking and pull requests. Heroku is a cloud platform that supports various programming languages and allows applications to be deployed through Git pushes. The cheat sheet outlines common Git commands for configuration, branching, merging, staging changes, viewing history and comparing differences. It also provides examples of workflows for contributing to GitHub projects and deploying applications to Heroku.
This document discusses various types of static white box testing techniques including formal reviews, peer reviews, walkthroughs, and inspections. Formal reviews involve following rules and writing a report. Peer reviews involve two programmers reviewing each other's code. Walkthroughs involve a programmer presenting code to reviewers. Inspections are the most formal with trained roles and perspectives. Checklists are provided to review for errors in data declarations, computations, comparisons, control flow, subroutine parameters, and input/output. White box testing finds bugs early by reviewing design and code without executing it.
Software testing is focused on finding defects. Important past defects found include missing names on 50,000 social security checks due to a software error, a flaw in nuclear tracking software, data conversion errors that caused the loss of the NASA Mars Climate Orbiter, and a floating point error that caused the loss of the $500 million Ariane 5 rocket. Testing answers questions about functionality, requirements, user experience, compatibility, performance, and scalability to identify defects early and improve customer satisfaction.
Software testing involves evaluating a system or program to determine if it meets its requirements and to identify any errors. There are many definitions of software testing but generally it involves executing a program and attempting to find bugs or errors. The objectives of testing are to uncover as many errors as possible, demonstrate the software matches requirements, and validate quality with minimal cost and effort. Testing activities include planning tests, designing and specifying test cases, setting up the environment, executing tests, analyzing results, and managing the testing process. Verification ensures the software is built correctly while validation ensures the right product is being built. Complete testing is impossible so testing is risk-based and must be planned with independence from the developers.
This document discusses software measurement and identifies key issues that should be measured in projects. It explains that measurement is important to make reasonable decisions but can be time-consuming. The document identifies common issues to measure like schedule, cost, size, quality, ability, and performance. These issues provide important information about staying on budget and time, meeting requirements, and product quality. Measuring the right things is crucial for project success.
Planning for software quality assurance lecture 6Abdul Basit
The document discusses planning for software quality assurance (SQA) and outlines the key elements of a software quality assurance plan (SQAP). It notes that an SQAP provides a roadmap for SQA activities and defines techniques, procedures, and methodologies that will be used to ensure timely delivery of software that meets requirements. The document then describes various sections that should be included in an SQAP, such as goals, tasks, standards, reviews, testing, problem reporting, tools, code control, and training. It also discusses the IEEE standard for SQAPs and provides examples of what types of information should be included in each SQAP section.
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.
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Measuring the Impact of Network Latency at TwitterScyllaDB
Widya Salim and Victor Ma will outline the causal impact analysis, framework, and key learnings used to quantify the impact of reducing Twitter's network latency.
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.
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
YOUR RELIABLE WEB DESIGN & DEVELOPMENT TEAM — FOR LASTING SUCCESS
WPRiders is a web development company specialized in WordPress and WooCommerce websites and plugins for customers around the world. The company is headquartered in Bucharest, Romania, but our team members are located all over the world. Our customers are primarily from the US and Western Europe, but we have clients from Australia, Canada and other areas as well.
Some facts about WPRiders and why we are one of the best firms around:
More than 700 five-star reviews! You can check them here.
1500 WordPress projects delivered.
We respond 80% faster than other firms! Data provided by Freshdesk.
We’ve been in business since 2015.
We are located in 7 countries and have 22 team members.
With so many projects delivered, our team knows what works and what doesn’t when it comes to WordPress and WooCommerce.
Our team members are:
- highly experienced developers (employees & contractors with 5 -10+ years of experience),
- great designers with an eye for UX/UI with 10+ years of experience
- project managers with development background who speak both tech and non-tech
- QA specialists
- Conversion Rate Optimisation - CRO experts
They are all working together to provide you with the best possible service. We are passionate about WordPress, and we love creating custom solutions that help our clients achieve their goals.
At WPRiders, we are committed to building long-term relationships with our clients. We believe in accountability, in doing the right thing, as well as in transparency and open communication. You can read more about WPRiders on the About us page.
Choose our Linux Web Hosting for a seamless and successful online presencerajancomputerfbd
Our Linux Web Hosting plans offer unbeatable performance, security, and scalability, ensuring your website runs smoothly and efficiently.
Visit- https://onliveserver.com/linux-web-hosting/
Best Practices for Effectively Running dbt in Airflow.pdfTatiana Al-Chueyr
As a popular open-source library for analytics engineering, dbt is often used in combination with Airflow. Orchestrating and executing dbt models as DAGs ensures an additional layer of control over tasks, observability, and provides a reliable, scalable environment to run dbt models.
This webinar will cover a step-by-step guide to Cosmos, an open source package from Astronomer that helps you easily run your dbt Core projects as Airflow DAGs and Task Groups, all with just a few lines of code. We’ll walk through:
- Standard ways of running dbt (and when to utilize other methods)
- How Cosmos can be used to run and visualize your dbt projects in Airflow
- Common challenges and how to address them, including performance, dependency conflicts, and more
- How running dbt projects in Airflow helps with cost optimization
Webinar given on 9 July 2024
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)
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
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptxSynapseIndia
Your comprehensive guide to RPA in healthcare for 2024. Explore the benefits, use cases, and emerging trends of robotic process automation. Understand the challenges and prepare for the future of healthcare automation
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.
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfNeo4j
Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.
UiPath Community Day Kraków: Devs4Devs ConferenceUiPathCommunity
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below 👇👇
08:30 ☕ Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel Kamiński, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 ☕ Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 🍕 Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
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.
2. What is Software?
According to the IEEE
Software is:
“Computer programs, procedures, and possibly
associated documentation and data pertaining to
the operation of a computer system”.
3. What is Software Quality ?
According to the IEEE
Software quality is:
1. The degree to which a system, component, or process
meets specified requirements.
2. The degree to which a system, component, or process
meets customer or user needs or expectations.
According to Pressman
“Conformance to explicitly stated functional and performance
requirements, explicitly documented development standards, and
implicit characteristics that are expected of all professionally
developed software”.
4. What is Software Quality?
“Achieving high levels of user satisfaction, portability,
maintainability, robustness, and fitness for use” by
Dr. Barry Boehm.
Quality means “conformance to user requirements”
by Phil Crosby.
Edwards Deming considers quality to be “striving for
excellence” in reliability and functions by continuous
improvement in the process of development, support
by statistical analysis of the causes of failure.
5. What is Software Quality?
Watts Humphrey, of the SEI, tends to speak of
quality as “achieving excellent levels of fitness for
use, conformance to requirements, reliability and
maintainability.”
James Martin said that software quality means being
on time, within budget and meeting user needs
Tom McCabe, the software complexity specialist,
defines quality as “high level of user satisfaction and
low defect levels, often associated with low
complexity
6. What is Software Quality?
John Musa of Bell Laboratories states that
quality means combination of “low defect
levels, adherence of software functions to
users needs, and high reliability”
Bill Perry, head of Quality Assurance Institute
has defined quality as “high levels of user
satisfaction and adherence to requirements”.
7. Why Quality is Important?
Quality is critical for survival and success.
Customers demand quality.
Everybody seems to understand quality.
Everybody wants quality
Everybody has a different perception of
quality.
Essentially quality means satisfying
customer.
8. Why Quality is Important?
Why business should be concerned with
quality:
– Quality is competitive issue now
– Quality is a must for survival
– Quality gives you the global reach
– Quality is cost effective
– Quality helps retain customers and increase
profits
– Quality is the hallmarks of world-class business
9. Importance of Software Quality
Software is a major component of computer systems
(about 80% of the cost) – used for
– communication (e.g. phone system, email system)
– health monitoring,
– transportation (e.g. automobile, aeronautics),
– economic exchanges (e.g. ecommerce),
– entertainment,
– etc.
Software defects are extremely costly in term of
– money
– reputation
– loss of life
10. Importance of Software Quality
Several historic disasters attributed to software
– 1988 shooting down of Airbus 320 by the USS Vincennes cryptic and
misleading output displayed by tracking software
– 1991 patriot missile failure inaccurate calculation of time due to computer
arithmetic errors.
– London Ambulance Service Computer Aided Dispatch System – several
deaths
– On June 3, 1980, the North American Aerospace Defense Command
(NORAD) reported that the U.S. was under missile attack.
– First operational launch attempt of the space shuttle, whose real-time
operating software consists of about 500,000 lines of code, failed
synchronization problem among its flight control computers.
– 9 hour breakdown of AT&T's long distance telephone network caused by
an untested code patch
11. Software Quality Factors
Correctness
– accuracy, completeness of required output
– upto-dateness, availability of the information
Reliability
– Minimum failure rate
Efficiency
resources needed to perform software function
Integrity
– software system security, access rights
Usability
– ability to learn, perform required task
12. Software Quality Factors
Maintainability
– effort to identify and fix software failures (modularity, documentation, etc)
Flexibility
– degree of adaptability (to new customers, tasks, etc)
Testability
– support for testing (e.g. log files, automatic diagnostics, etc)
Portability
– adaptation to other environments (hardware, software)
Reusability
– use of software components for other projects
Interoperability
– ability to interface with other components/systems
13. Elements of Quality Definition
Quality factors Predictable Measurable
Defect Level Yes Yes
Defect Origins Yes Yes
Defect Severity Yes Yes
Defect Removal Efficiency Yes Yes
Product Complexity Yes Yes
Project Reliability Yes Yes
Project Maintainability Yes Yes
Project schedules Yes Yes
Project budgets Yes Yes
Portability Yes Yes
Conformance to requirements No Yes
User Satisfaction No Yes
Fitness for Use No Yes
Robustness No No
14. Software Quality Challenges
The measures for quality differ from project to project
and organization to organization
– Quality measures used for small systems may not be
appropriate for the large ones.
Criteria for quality vary as a function of the specific
characteristics of the project, the needs of the users
and stakeholders, and the application requirements
of the system and software.
– Criteria for quality applied to real-time applications are not
always relevant when dealing with systems that are not
real-time.
15. What is Software Quality
Assurance?
According to the IEEE
Software quality assurance is:
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 the products are developed or
manufactured. Contrast with: quality control.
16. What is Software Quality
Assurance?
According to D. Galin
Software quality assurance is:
“A systematic, planned set of actions necessary to provide
adequate confidence that the software development process
or the maintenance process of a software system product
conforms to established functional technical requirements
as well as with the managerial requirements of keeping the
schedule and operating within the budgetary confines.”
17. Objectives of SQA
Development:
Assuring an acceptable level of confidence that the software will conform to
functional technical requirements.
Assuring an acceptable level of confidence that the software will conform to
managerial scheduling and budgetary requirements.
Initiation and management of activities for the improvement and greater
efficiency of software development and SQA activities.
Maintenance:
Assuring an acceptable level of confidence that the software maintenance
activities will conform to the functional technical requirements.
Assuring an acceptable level of confidence that the software maintenance
activities will conform to managerial scheduling and budgetary requirements.
Initiate and manage activities to improve and increase the efficiency of software
maintenance and SQA activities.
18. Three General Principles of QA
Know what you are doing
Know what you should be doing
Know how to measure the difference
19. Three General Principles of QA
Know what you are doing
understand what is being built, how it is being built
and what it currently does.
suppose a software development process with
– management structure (milestones, scheduling)
– reporting policies
– tracking
20. Three General Principles of QA
Know what you should be doing
– having explicit requirements and specifications
– suppose a software development process with
requirements analysis,
acceptance tests,
frequent user feedback
21. Three General Principles of QA
Know how to measure the difference
– having explicit measures comparing what is being
done from what should be done
– four complementary methods:
formal methods – verify mathematically specified properties
testing – explicit input to exercise software and check for
expected output
inspections – human examination of requirements, design,
code, ... based on checklists
metrics – measures a known set of properties related to
quality.
22. Software Quality Challenges
Complex Software requires different monitoring
procedures than trivial applications.
Quality criteria vary dramatically depending on the
phase of the project at which the evaluation takes
place
The measures of the quality must be specific to the
project being evaluated and must assess the
effectiveness of the entire development process, not
just individual segments.
23. Software Quality Challenges
Quality cannot be directly checked in the product; it
must planned right from the beginning.
Quality goals must be clearly defined, effectively
monitored, and rigorously enforced.
The project must focus on the quality issues of the
project from the beginning, ensuring that quality
criteria are consistent with defined requirements.
Quality must be planed into the project structure,
constantly evaluated, and corrections applied when
deficiencies are identified.
24. Changing View of Quality
Past Present
Quality is the responsibility of blue
collar workers and direct labor
employees working on the product
Quality is everyone’s responsibility,
including, white-collar workers, the
indirect labor force and the
overhead staff
Quality defects should be hidden
from the customers and
management
Defects should be highlighted and
brought to the surface for corrective
actions
Quality problems lead to blame,
faulty justification and excuses
Quality problems lead to
cooperative solutions
Corrections-to-quality problems
should be accompanied with
minimum documentation
Documentation is essential for
“lessons learnt” so the mistakes are
not repeated.
25. Changing View of Quality
Past Present
Increased quality will increase
project costs
Improved quality saves money and
increase business
Quality is internally focused Quality is customer focused
Quality will not occur without close
supervision of people
People want to produce quality
products
Quality occurs during project
execution
Quality occurs at project initiation
and must be planned for within the
project
26. Quality Control v/s Quality Assurance
Quality means meeting requirements and meeting
customer needs, which means a defect-free product
from both the producer’s and the customer’s
viewpoint.
Both quality control and quality assurance are used
to make quality happen.
Quality is an attribute of a product. A product is
something produced, such as a requirement
document, test data, source code etc.
27. Quality Control v/s Quality Assurance
Quality Assurance Quality Control
Quality Assurance (QA) is
the set of activities (including
facilitation, training,
measurement and analysis)
needed to provide adequate
confidence that processes
are established and
continuously improved in
order to produce products or
services that conform to
requirements and are fit for
use.
Quality Control (QC) is
defined as the processes and
methods used to compare
product quality to
requirements and applicable
standards, and the action
taken when a
nonconformance is detected.
28. Quality Control v/s Quality Assurance
Quality Assurance Quality Control
QA is an activity that
establishes and evaluates
the processes that
produce the products. If
there is no process, there
is no role for QA.
QC is an activity that
verifies whether or not the
product produced meets
standards.
29. Quality Control v/s Quality Assurance
Quality Assurance Quality Control
QA helps establish
processes
QC relates to a specific
product or service
QA sets up measurement
programs to evaluate
processes
QC verified whether
particular attributes exist,
or do not exist, in a
specific product or service
QA identifies weakness in
processes and improves
them
QC identifies defect for the
primary purpose of
correcting defects.
30. Quality Control v/s Quality Assurance
Quality Assurance Quality Control
QA is a management
responsibility, frequently
performed by a staff
function
QC is the responsibility of
the worker
QA evaluates whether or
not quality control is working
for the primary purpose of
determining whether or not
there is weakness in the
process
31. Quality Control v/s Quality Assurance
Quality Assurance Quality Control
Defining Processes Walkthrough
Quality Audit Testing
Selection of Tools Inspection
Training Checkpoint review
32. Impediments to Software Quality
Control
Quality control is often viewed as a police
action
IT is often considered an art
Unclear or ineffective standards and
processes
Lack of process training
33. Impediments to Software Quality
Assurance
Management does not insist on compliance to processes
Workers are not convinced of the value of processes
Processes become obsolete
Processes are difficult to use
Workers lack training in processes
Processes are not measurable
Measurement can threaten employees
Processes do not focus on critical aspects of products
34. Quality Assurance at each phase of
SDLC
Requirements Analysis Phase:
Three major activities that foster quality
– Measurement of process attributes
– Verification and Validation
– Management
Managing quality in the analysis stage is a
challenge.
35. Quality Assurance at each phase of
SDLC
Good Quality Requirements
– They are precise, with no room for
misinterpretation by users or implementers
– They specify just what the system must do, not
how to do it. They avoid specifying
implementation details
– They show conceptual integrity, building on a
simple set of facilities that interact well with each
other
36. Quality Assurance at each phase of
SDLC
Major management deficiencies in most
software development projects:
– Incorrect schedules
– Incorrect cost estimates
– Inadequate project accountability procedures
– Inadequate quality assurance procedures
– Imprecise goals and success criteria
37. Quality Assurance at each phase of
SDLC
Design phase:
A lack of quality in the design process can
invalidate good requirements specification
and can make correct implementation
impossible.
Industry practice shows that use of checklist
during design helps improve design quality.