1. A software development team at LogicaCMG adopted Extreme Programming (XP) practices to address issues with their mature product set such as high costs, complex configuration management, and lack of innovation due to long development cycles and QA testing.
2. They implemented XP practices like offshore development for maintenance, intensive training, iterative development, test-first practices, continuous integration, and onsite customers.
3. This resulted in benefits like releasing their first new product within 3 months, 50% fewer defects, test cycles reduced from 2 months to zero, and delivering working software frequently which allowed for continuous feedback.
This document summarizes the transition of a large software development team from a hybrid "Mini Waterfall-Scrum" approach to fully embracing Scrum practices. It outlines issues they encountered initially like accumulating technical debt and many bugs. They then prepared for changes, defined a "Definition of Done", formed cross-functional teams, increased testing, and reduced work-in-progress. This led to positive results like reduced bugs, the first bug-free user stories, stable bug fix times, decreased technical debt, and improved release cycles. The presentation concludes that taking risks to make incremental changes aligned with Agile principles can successfully improve outcomes.
Software Development And Delivery Metrics That MatterWilliam Simms
The document discusses techniques for measuring key metrics in software development and delivery to improve visibility, manage costs, and ensure success. It provides examples of metrics to measure at different stages of the development lifecycle, including code coverage, team velocity, defect rates, testing times, and story completion rates. The document emphasizes establishing a measurement process to identify problems, take action, and continuously improve product quality and delivery.
The document outlines a proposed code review and release process to improve code quality, visibility, and reduce dependencies. It discusses establishing metrics to measure progress over time, such as bugs fixed, points completed, and goals. Potential tradeoffs include increased development time but reduced bugs. Next steps include scheduling release timing, establishing a release process focused on acceptance, and tracking time for code review and testing.
This webinar covered important agile metrics for software development projects and how to measure the right things. It discussed what makes a good metric, focusing on metrics that can be acted on and measured at the appropriate level. The webinar also addressed which stakeholders want what information and factors that influence metric choice, such as the agile process used. Finally, it provided examples of common agile metrics like velocity, defects, and cycle time, and characteristics of good agile metrics.
Neil Johnson does not use bug tracking software for his team because they take a more agile approach of immediately fixing bugs as they are discovered. Their process emphasizes preventing bugs from being introduced in the first place through practices like test-driven development and pair programming. They are able to prioritize fixing bugs over scheduled work due to the manageable rate of bug discovery and their system's suitability for testing. This talk is not about bug tracking software itself, but rather how continuous process improvement allows the team to inspect and adapt their workflow as needed.
Presentation -Quality Metrics For Agile DevelopmentNabilahmed Patel
This document discusses quality metrics for agile software development. It outlines metrics for defects tracking, code coverage, and other measures of quality. Other metrics mentioned include cohesion and coupling, which measure how well code elements belong together and depend on each other. Additional metrics discussed are source lines of code, cyclomatic complexity, function point analysis, and program runtime, which provide information on code size, complexity, functionality, and performance. All of these metrics can help measure aspects of software quality.
Agile is an iterative approach to software development that builds software incrementally by splitting work into small pieces, prioritizing tasks, and delivering working software frequently for continuous feedback. It focuses on individuals, working software, customer collaboration, and response to change rather than rigid processes, documentation, contracts, and plans. Agile testing emphasizes continuous collaboration with developers, targeted automation, defect prevention, exploratory testing, and adding value rather than detached objectivity, widespread automation, defect detection, scripting, and persistent criticism.
1. A software development team at LogicaCMG adopted Extreme Programming (XP) practices to address issues with their mature product set such as high costs, complex configuration management, and lack of innovation due to long development cycles and QA testing.
2. They implemented XP practices like offshore development for maintenance, intensive training, iterative development, test-first practices, continuous integration, and onsite customers.
3. This resulted in benefits like releasing their first new product within 3 months, 50% fewer defects, test cycles reduced from 2 months to zero, and delivering working software frequently which allowed for continuous feedback.
This document summarizes the transition of a large software development team from a hybrid "Mini Waterfall-Scrum" approach to fully embracing Scrum practices. It outlines issues they encountered initially like accumulating technical debt and many bugs. They then prepared for changes, defined a "Definition of Done", formed cross-functional teams, increased testing, and reduced work-in-progress. This led to positive results like reduced bugs, the first bug-free user stories, stable bug fix times, decreased technical debt, and improved release cycles. The presentation concludes that taking risks to make incremental changes aligned with Agile principles can successfully improve outcomes.
Software Development And Delivery Metrics That MatterWilliam Simms
The document discusses techniques for measuring key metrics in software development and delivery to improve visibility, manage costs, and ensure success. It provides examples of metrics to measure at different stages of the development lifecycle, including code coverage, team velocity, defect rates, testing times, and story completion rates. The document emphasizes establishing a measurement process to identify problems, take action, and continuously improve product quality and delivery.
The document outlines a proposed code review and release process to improve code quality, visibility, and reduce dependencies. It discusses establishing metrics to measure progress over time, such as bugs fixed, points completed, and goals. Potential tradeoffs include increased development time but reduced bugs. Next steps include scheduling release timing, establishing a release process focused on acceptance, and tracking time for code review and testing.
This webinar covered important agile metrics for software development projects and how to measure the right things. It discussed what makes a good metric, focusing on metrics that can be acted on and measured at the appropriate level. The webinar also addressed which stakeholders want what information and factors that influence metric choice, such as the agile process used. Finally, it provided examples of common agile metrics like velocity, defects, and cycle time, and characteristics of good agile metrics.
Neil Johnson does not use bug tracking software for his team because they take a more agile approach of immediately fixing bugs as they are discovered. Their process emphasizes preventing bugs from being introduced in the first place through practices like test-driven development and pair programming. They are able to prioritize fixing bugs over scheduled work due to the manageable rate of bug discovery and their system's suitability for testing. This talk is not about bug tracking software itself, but rather how continuous process improvement allows the team to inspect and adapt their workflow as needed.
Presentation -Quality Metrics For Agile DevelopmentNabilahmed Patel
This document discusses quality metrics for agile software development. It outlines metrics for defects tracking, code coverage, and other measures of quality. Other metrics mentioned include cohesion and coupling, which measure how well code elements belong together and depend on each other. Additional metrics discussed are source lines of code, cyclomatic complexity, function point analysis, and program runtime, which provide information on code size, complexity, functionality, and performance. All of these metrics can help measure aspects of software quality.
Agile is an iterative approach to software development that builds software incrementally by splitting work into small pieces, prioritizing tasks, and delivering working software frequently for continuous feedback. It focuses on individuals, working software, customer collaboration, and response to change rather than rigid processes, documentation, contracts, and plans. Agile testing emphasizes continuous collaboration with developers, targeted automation, defect prevention, exploratory testing, and adding value rather than detached objectivity, widespread automation, defect detection, scripting, and persistent criticism.
Decreasing false positives in automated testingSauce Labs
QASource presented on reducing false positives in automated testing. Some key points:
1. False positives occur when tests are incorrectly marked as failed when they should have passed. Common causes include reliance on UI elements, synchronization issues, and unstable test code.
2. False positives can impact automation by wasting time investigating failures, decreasing productivity, and obscuring real bugs.
3. Strategies to reduce false positives include using stable locators, short independent tests, dynamic synchronization, teardown logic, and re-execution of failed tests.
4. Eliminating false positives leads to more certainty in test results and reduced costs of automation.
The document discusses agile as an active risk management strategy for software development projects. It notes that agile approaches can help reduce costs, delay, and increase benefits and value. The document also provides evidence that agile methods have benefits like increased productivity, quality and stakeholder satisfaction. It discusses how many large companies and government organizations like the DoD have adopted agile. Finally, it outlines a suggested agile transition approach using coaches over several phases.
This document discusses how technology can help accelerate business agility by presenting case studies of companies that addressed problems by adopting technical solutions. The case studies illustrate how microservices, shared services layers, asynchronous communication, automated deployments, and feature flags helped speed up development and delivery. Adopting these types of technologies, along with continuous attention to technical excellence, can enhance agility when process changes alone are not enough.
Agile driven development main principlesTanya Epstein
The document discusses the principles of agile driven development, including that projects have become shorter but more complex, requiring a user-centric approach. It outlines the agile manifesto which values individuals, working software, customer collaboration and responding to change over documentation, contracts and strict plans. Key principles of agile include open communication, incremental changes and rapid feedback. Success requires teamwork, quality assurance, resolving dependencies, and software integration and availability through continuous builds. A combined approach uses both rolling wave and agile planning with high-level milestones and detailed iterations.
T19 performance testing effort - estimation or guesstimation revisedTEST Huddle
This document discusses performance testing estimation and provides tips to improve the estimation process. It recommends dividing estimation into stages like requirements analysis, design, development, testing and delivery. Key factors to consider include non-functional requirements, test cases, test runs, server monitoring needs, and data/environment setup. Tasks that typically consume more time include scripting, test execution and data setup. The document emphasizes estimating early, listing assumptions, and using a technique rather than guessing to improve accuracy.
This document discusses software process models and their characteristics. It describes the waterfall model, modified waterfall model, evolutionary models including prototyping and incremental development. The spiral model is also explained as it couples iterative prototyping with controlled sequential development. The models are compared in terms of their advantages like manageability and accommodating changes, and disadvantages such as inability to adapt to iterations or changes in later stages. Key activities in a software process like requirements, development, validation and evolution are outlined.
This document provides an overview of the Software Development Life Cycle (SDLC) and different SDLC models, including Waterfall, Incremental, Agile, and Spiral models. It describes the key phases and characteristics of each model, and discusses their advantages and disadvantages. The Waterfall model is a simple linear sequential approach, while Incremental is divided into modules with each release adding functionality. Agile uses rapid iterative cycles for continuous delivery, and Spiral emphasizes risk analysis with repeated planning, risk analysis, engineering and evaluation phases. Understanding SDLC helps improve quality, productivity and reduces risks of going over budget or delivering late.
W JAX Performance Workshop - Organisational AntipatternsAlois Reitbauer
This document discusses conceptual and organizational antipatterns related to Java enterprise performance. It describes several conceptual antipatterns including misunderstanding scalability, treating performance management as premature optimization, relying on guesswork instead of metrics, and treating frameworks as black boxes. Organizational antipatterns covered include ad-hoc performance management, lack of responsibility for performance, and only addressing performance issues reactively after problems occur. The document provides explanations of each antipattern and recommendations for addressing them such as defining performance processes, roles, and goals.
The document provides an overview of Extreme Programming (XP), the most widely used agile development process originally proposed by Kent Beck. It discusses the key practices of XP including planning with user stories, small iterative releases, simple design practices like CRC cards, test-driven development, pair programming, continuous integration, and collective code ownership. The document notes that XP works well for projects with dynamically changing requirements, risky projects, or small development groups of up to 100 people.
Nesma autumn conference 2015 - A QFD based tool for managing agile requiremen...Nesma
The document describes a methodology for estimating the cost of agile software development projects using Quality Function Deployment (QFD). It involves capturing user needs, prioritizing user stories, developing story cards to break stories into work items, estimating the effort required using function points, and tracking progress towards meeting business goals through multiple iterations of a quality deployment matrix. The methodology aims to provide estimates of what functionality can be delivered given a selected team size and number of sprints.
Automation in the Bug Flow - Machine Learning for Triaging and TracingMarkus Borg
Issue management is a costly part of software development. In large projects, the continuous inflow of issue reports contributes to the information overload in a project, i.e., "a state where individuals do not have time or capacity to process all available information". In issue triaging, an initial step in issue management, a developer must be able to overview existing issue reports and easily navigate the software engineering project landscape. In this presentation, we present support for two work tasks involved in issue management: 1) issue assignment and 2) change impact analysis. We use machine learning to harness the ever-growing number of issue reports, by training recommendation systems on previous issues. Our industrial evaluations on 50,000+ issue reports in two large software development organizations indicate that automated issue assignment performs in line with current manual work. Moreover, we present how traceability from already resolved issue reports to various artifacts can be reused to jump start change impact analyses for newly submitted issues. Finally, we speculate on future ways to tame information overload into helpful software engineering recommendations.
The document describes an agile development method that focuses on having a unified team work on the highest priority tasks. It discusses foundations of the method including backlog grooming, velocity-based work capacity, and priority-based work allocation and focus. It then describes the iterative development method including sprint planning, execution, and retrospectives. It emphasizes evolving the method through retrospectives and periodic assessments to balance change and stability.
After doing testing on multiple Agile projects, I have come to realize certain aspects about the process and techniques that are common across projects. Some things I have learned along the way, some, by reflection on the mistakes / sub-optimal things that I did.
I have written and published my thoughts around the "Agile QA Process", more particularly what techniques can be used to test effectively in the Iterations.
The document discusses software testing and agile methodologies. It defines software testing as executing a program with the intent of finding errors. A good test case has a high probability of finding undiscovered errors. It also discusses why software has defects such as bad communication, design, and coding. The document then covers agile methodologies like Scrum, which is an iterative development process involving sprints, daily stand-ups, and product backlogs. It provides synonyms for "agile" and discusses concepts like story mapping in agile projects.
Test Management for IT Business AnalystsQBI Institute
The document discusses the objectives and importance of software testing. It aims to find undiscovered errors through executing test cases that have a high probability of uncovering issues. Testing represents the final review of specifications, design, and code to ensure software quality. Defects can arise due to bad communication, design, or coding. Effective testing principles include linking tests to requirements, planning tests early, applying the Pareto principle, starting small and progressing to larger tests, recognizing exhaustive testing is impossible, and having an independent third party conduct testing.
8. how nesma can quick start your software estimate frank vogelezangNesma
This document discusses software estimation in agile deliveries and how Nesma can provide quick estimates. It notes that traditional function point analysis (FPA) is not well-suited for agile due to lack of documentation and details, and outdated terminology. Nesma offers high-level analysis based on use cases without full details. It provides accurate and fast measurement comparable to other size methods. The document also advertises free example cases to illustrate Nesma's measurement approach.
Best Kept Secret of Transformation – Release FrequentlyEqual Experts
Given by Jon Dickinson (Partner at Equal Experts) at Agile Yorkshire Feb 2016.
In this talk Jon presents a case study where Equal Experts were engaged with a large finance client to deliver new versions of their payment service while improving their delivery practices and supporting an 'agile transformation'. There were many attempts to introduce new working practices, tools and techniques. One change in particular was orders of magnitude more effective than any other and proved the catalyst for embedding most of the change that had failed to stick before.
-Agile development and Agile testing.
-The aim of test management in Agile projects
- Tips and ideas for successfully managing your Agile testing process.
full webinar recording:
https://www.practitest.com/qa-learningcenter/webinars/agile-test-management/
Sof tbgffjjdxb. HwvnThe history of software engineering is relatively new, with the first computers being women who computed manually.
The term "software engineering" was first used in the 1960s, and Margaret Hamilton is considered the inventor of the phrase.
ESEconf2011 - Guckenheimer Sam: "Agile in the Very Large"Aberla
This document summarizes experiences from Microsoft's Developer Division in moving to more agile practices for their very large Visual Studio product. Some key points:
1) They shifted from 3-4 year release cycles to focusing on continuous delivery of high quality customer previews every 4 weeks, with the goal of getting work fully tested and "done" instead of deferring bugs.
2) Practices included establishing a product backlog prioritized by customer value, using feature teams to deliver one feature per iteration, and integrating features regularly into a main branch to catch issues early.
3) Metrics showed a 10x reduction in deferred debt/bugs between VS 2005 and 2008, with 2x faster schedules and much higher
Best Practices for a Repeatable Shift-Left CommitmentApplause
This document discusses best practices for implementing a "shift-left" strategy to move quality assurance activities earlier in the software development lifecycle. It recommends having quality be everyone's responsibility, focusing on delivering valuable features, adopting an automation-first mentality, embracing continuous feedback through a "fail or learn fast" approach, and continuously improving processes. The document provides examples of how some organizations are successfully shifting left, such as through continuous integration/delivery pipelines, minimum viable products, and behavior-driven development. It also describes how Applause's in-sprint testing service can help teams validate features within a sprint to avoid context switching for developers.
DevOps adoption can provide quantifiable returns on investment through improved productivity and quality. Implementing DevOps practices in phases allows organizations to first achieve continuous testing, then continuous delivery, reducing cycle times. Automating processes like builds, testing, and deployments across development, QA and production environments increases staff capacity. Earlier defect detection through practices like "shift left" testing also reduces repair costs. Case studies show potential annual savings of millions from these effects. A DevOps adoption roadmap and workshops can help organizations assess current capabilities and identify high-impact practices to prioritize for their needs.
Decreasing false positives in automated testingSauce Labs
QASource presented on reducing false positives in automated testing. Some key points:
1. False positives occur when tests are incorrectly marked as failed when they should have passed. Common causes include reliance on UI elements, synchronization issues, and unstable test code.
2. False positives can impact automation by wasting time investigating failures, decreasing productivity, and obscuring real bugs.
3. Strategies to reduce false positives include using stable locators, short independent tests, dynamic synchronization, teardown logic, and re-execution of failed tests.
4. Eliminating false positives leads to more certainty in test results and reduced costs of automation.
The document discusses agile as an active risk management strategy for software development projects. It notes that agile approaches can help reduce costs, delay, and increase benefits and value. The document also provides evidence that agile methods have benefits like increased productivity, quality and stakeholder satisfaction. It discusses how many large companies and government organizations like the DoD have adopted agile. Finally, it outlines a suggested agile transition approach using coaches over several phases.
This document discusses how technology can help accelerate business agility by presenting case studies of companies that addressed problems by adopting technical solutions. The case studies illustrate how microservices, shared services layers, asynchronous communication, automated deployments, and feature flags helped speed up development and delivery. Adopting these types of technologies, along with continuous attention to technical excellence, can enhance agility when process changes alone are not enough.
Agile driven development main principlesTanya Epstein
The document discusses the principles of agile driven development, including that projects have become shorter but more complex, requiring a user-centric approach. It outlines the agile manifesto which values individuals, working software, customer collaboration and responding to change over documentation, contracts and strict plans. Key principles of agile include open communication, incremental changes and rapid feedback. Success requires teamwork, quality assurance, resolving dependencies, and software integration and availability through continuous builds. A combined approach uses both rolling wave and agile planning with high-level milestones and detailed iterations.
T19 performance testing effort - estimation or guesstimation revisedTEST Huddle
This document discusses performance testing estimation and provides tips to improve the estimation process. It recommends dividing estimation into stages like requirements analysis, design, development, testing and delivery. Key factors to consider include non-functional requirements, test cases, test runs, server monitoring needs, and data/environment setup. Tasks that typically consume more time include scripting, test execution and data setup. The document emphasizes estimating early, listing assumptions, and using a technique rather than guessing to improve accuracy.
This document discusses software process models and their characteristics. It describes the waterfall model, modified waterfall model, evolutionary models including prototyping and incremental development. The spiral model is also explained as it couples iterative prototyping with controlled sequential development. The models are compared in terms of their advantages like manageability and accommodating changes, and disadvantages such as inability to adapt to iterations or changes in later stages. Key activities in a software process like requirements, development, validation and evolution are outlined.
This document provides an overview of the Software Development Life Cycle (SDLC) and different SDLC models, including Waterfall, Incremental, Agile, and Spiral models. It describes the key phases and characteristics of each model, and discusses their advantages and disadvantages. The Waterfall model is a simple linear sequential approach, while Incremental is divided into modules with each release adding functionality. Agile uses rapid iterative cycles for continuous delivery, and Spiral emphasizes risk analysis with repeated planning, risk analysis, engineering and evaluation phases. Understanding SDLC helps improve quality, productivity and reduces risks of going over budget or delivering late.
W JAX Performance Workshop - Organisational AntipatternsAlois Reitbauer
This document discusses conceptual and organizational antipatterns related to Java enterprise performance. It describes several conceptual antipatterns including misunderstanding scalability, treating performance management as premature optimization, relying on guesswork instead of metrics, and treating frameworks as black boxes. Organizational antipatterns covered include ad-hoc performance management, lack of responsibility for performance, and only addressing performance issues reactively after problems occur. The document provides explanations of each antipattern and recommendations for addressing them such as defining performance processes, roles, and goals.
The document provides an overview of Extreme Programming (XP), the most widely used agile development process originally proposed by Kent Beck. It discusses the key practices of XP including planning with user stories, small iterative releases, simple design practices like CRC cards, test-driven development, pair programming, continuous integration, and collective code ownership. The document notes that XP works well for projects with dynamically changing requirements, risky projects, or small development groups of up to 100 people.
Nesma autumn conference 2015 - A QFD based tool for managing agile requiremen...Nesma
The document describes a methodology for estimating the cost of agile software development projects using Quality Function Deployment (QFD). It involves capturing user needs, prioritizing user stories, developing story cards to break stories into work items, estimating the effort required using function points, and tracking progress towards meeting business goals through multiple iterations of a quality deployment matrix. The methodology aims to provide estimates of what functionality can be delivered given a selected team size and number of sprints.
Automation in the Bug Flow - Machine Learning for Triaging and TracingMarkus Borg
Issue management is a costly part of software development. In large projects, the continuous inflow of issue reports contributes to the information overload in a project, i.e., "a state where individuals do not have time or capacity to process all available information". In issue triaging, an initial step in issue management, a developer must be able to overview existing issue reports and easily navigate the software engineering project landscape. In this presentation, we present support for two work tasks involved in issue management: 1) issue assignment and 2) change impact analysis. We use machine learning to harness the ever-growing number of issue reports, by training recommendation systems on previous issues. Our industrial evaluations on 50,000+ issue reports in two large software development organizations indicate that automated issue assignment performs in line with current manual work. Moreover, we present how traceability from already resolved issue reports to various artifacts can be reused to jump start change impact analyses for newly submitted issues. Finally, we speculate on future ways to tame information overload into helpful software engineering recommendations.
The document describes an agile development method that focuses on having a unified team work on the highest priority tasks. It discusses foundations of the method including backlog grooming, velocity-based work capacity, and priority-based work allocation and focus. It then describes the iterative development method including sprint planning, execution, and retrospectives. It emphasizes evolving the method through retrospectives and periodic assessments to balance change and stability.
After doing testing on multiple Agile projects, I have come to realize certain aspects about the process and techniques that are common across projects. Some things I have learned along the way, some, by reflection on the mistakes / sub-optimal things that I did.
I have written and published my thoughts around the "Agile QA Process", more particularly what techniques can be used to test effectively in the Iterations.
The document discusses software testing and agile methodologies. It defines software testing as executing a program with the intent of finding errors. A good test case has a high probability of finding undiscovered errors. It also discusses why software has defects such as bad communication, design, and coding. The document then covers agile methodologies like Scrum, which is an iterative development process involving sprints, daily stand-ups, and product backlogs. It provides synonyms for "agile" and discusses concepts like story mapping in agile projects.
Test Management for IT Business AnalystsQBI Institute
The document discusses the objectives and importance of software testing. It aims to find undiscovered errors through executing test cases that have a high probability of uncovering issues. Testing represents the final review of specifications, design, and code to ensure software quality. Defects can arise due to bad communication, design, or coding. Effective testing principles include linking tests to requirements, planning tests early, applying the Pareto principle, starting small and progressing to larger tests, recognizing exhaustive testing is impossible, and having an independent third party conduct testing.
8. how nesma can quick start your software estimate frank vogelezangNesma
This document discusses software estimation in agile deliveries and how Nesma can provide quick estimates. It notes that traditional function point analysis (FPA) is not well-suited for agile due to lack of documentation and details, and outdated terminology. Nesma offers high-level analysis based on use cases without full details. It provides accurate and fast measurement comparable to other size methods. The document also advertises free example cases to illustrate Nesma's measurement approach.
Best Kept Secret of Transformation – Release FrequentlyEqual Experts
Given by Jon Dickinson (Partner at Equal Experts) at Agile Yorkshire Feb 2016.
In this talk Jon presents a case study where Equal Experts were engaged with a large finance client to deliver new versions of their payment service while improving their delivery practices and supporting an 'agile transformation'. There were many attempts to introduce new working practices, tools and techniques. One change in particular was orders of magnitude more effective than any other and proved the catalyst for embedding most of the change that had failed to stick before.
-Agile development and Agile testing.
-The aim of test management in Agile projects
- Tips and ideas for successfully managing your Agile testing process.
full webinar recording:
https://www.practitest.com/qa-learningcenter/webinars/agile-test-management/
Sof tbgffjjdxb. HwvnThe history of software engineering is relatively new, with the first computers being women who computed manually.
The term "software engineering" was first used in the 1960s, and Margaret Hamilton is considered the inventor of the phrase.
ESEconf2011 - Guckenheimer Sam: "Agile in the Very Large"Aberla
This document summarizes experiences from Microsoft's Developer Division in moving to more agile practices for their very large Visual Studio product. Some key points:
1) They shifted from 3-4 year release cycles to focusing on continuous delivery of high quality customer previews every 4 weeks, with the goal of getting work fully tested and "done" instead of deferring bugs.
2) Practices included establishing a product backlog prioritized by customer value, using feature teams to deliver one feature per iteration, and integrating features regularly into a main branch to catch issues early.
3) Metrics showed a 10x reduction in deferred debt/bugs between VS 2005 and 2008, with 2x faster schedules and much higher
Best Practices for a Repeatable Shift-Left CommitmentApplause
This document discusses best practices for implementing a "shift-left" strategy to move quality assurance activities earlier in the software development lifecycle. It recommends having quality be everyone's responsibility, focusing on delivering valuable features, adopting an automation-first mentality, embracing continuous feedback through a "fail or learn fast" approach, and continuously improving processes. The document provides examples of how some organizations are successfully shifting left, such as through continuous integration/delivery pipelines, minimum viable products, and behavior-driven development. It also describes how Applause's in-sprint testing service can help teams validate features within a sprint to avoid context switching for developers.
DevOps adoption can provide quantifiable returns on investment through improved productivity and quality. Implementing DevOps practices in phases allows organizations to first achieve continuous testing, then continuous delivery, reducing cycle times. Automating processes like builds, testing, and deployments across development, QA and production environments increases staff capacity. Earlier defect detection through practices like "shift left" testing also reduces repair costs. Case studies show potential annual savings of millions from these effects. A DevOps adoption roadmap and workshops can help organizations assess current capabilities and identify high-impact practices to prioritize for their needs.
The document discusses agile testing approaches. It defines testing as executing software with test cases to find failures and demonstrate correct execution. It then discusses key aspects of agile testing including: running tests iteratively throughout development rather than just at the end; automating tests wherever practical; and having testers work collaboratively as part of development teams. It outlines success factors like focusing on delivering customer value and continually improving testing practices. The document advocates for automating a large portion of testing to provide rapid feedback and free up resources while balancing automation costs.
Євген Лабунський: Agile in Enterprise. How do we do itLviv Startup Club
The document discusses how to implement agile practices in an enterprise setting. It describes using a combination of Scrum, XP techniques, lean practices, and traditional project management adapted to the enterprise context called "Adaptive". Key aspects include architectural planning, risk management, integration testing, continuous delivery, and working with complex requirements and stakeholder needs across multiple releases. The goal is to deliver working software in short iterations while managing the increased complexity of enterprise projects.
Productivity gains with Visual Studio ALM.PPTXbalaji257
This document discusses how a company is using Team Foundation Server (TFS) to improve their project management and development processes. It outlines some common pain points teams face around requirements management, feedback, project visibility, code quality, and testing. It then describes how TFS can address these issues through features like requirement tracking, feedback collection, work item reports, gated check-ins, code metrics, code reviews, lab management, and more. The final section shows how TFS editions like Premium and Ultimate provide additional capabilities for tasks like architecture validation, debugging production issues, and memory leak analysis.
This document discusses the agile tools available in Visual Studio 2010. It provides an overview of Visual Studio 2010's capabilities for managing the entire software development lifecycle using agile methodologies like Scrum. Key features highlighted include improved support for agile processes like Scrum through templates and work item tracking, reporting and planning tools, and tight integration across the development lifecycle from requirements through deployment. The document argues that Visual Studio 2010's agile tools can help teams overcome complexity, improve quality, increase transparency, facilitate collaboration, and reduce risk through a lightweight and customizable approach.
Performance Testing in the Agile LifecycleLee Barnes
Traditional large scale end-of-cycle performance tests served enterprises well in the waterfall era. However, as organizations transition to agile development models, many find their tried and true approach to performance testing—and their performance testing resources—becoming somewhat irrelevant. The strict requirements and lengthy durations just don’t fit in the context of an agile cycle. Additionally, investigating system performance at the end of the development effort misses out on the early stage feedback offered by an agile approach. And it’s more important than ever that today’s agile-built systems perform. So how can agile organizations ensure optimum performance of their business critical systems? Lee Barnes discusses why agile teams need to change their thinking about performance from a narrow focus on testing to a broader focus on analysis—from a people, process and technology perspective. Take back techniques for shifting your performance testing/analysis earlier in the development cycle and extracting performance data that is immediately actionable.
Zentao is a professional project management tool which covers the core process of the entire lifecycle of project management.
It’s an all-in-one tool to manage products, projects, tasks, bugs, tests, documents, resources and todos.
It can help enterprises reduce manual work by automatic reporting, balance and optimize resource allocation by easier
task delegation, have fact-based decision making by providing real-time visibility into project status, and have a reliable and
uniform platform for efficient team communication and collaboration.
eXtreme Programming (XP) is an agile software development methodology that aims to improve quality and responsiveness to changing requirements. It consists of values like communication, simplicity, feedback and courage, as well as practices like planning, small releases, testing, pair programming and refactoring. XP attempts to address common software project problems like schedule slips, defects, and inability to adapt to changing business needs. It advocates short iterations, frequent integration and customer feedback to deliver working, tested software rapidly and allow requirements to evolve over time at low cost.
eXtreme Programming (XP) is an agile software development methodology that focuses on rapid software development and delivery through practices like continuous integration, pair programming, and frequent refactoring. It aims to address common software project problems like schedule slips, high defect rates, and changing requirements by having short development cycles, automated testing, and close collaboration between developers and customers. Key XP practices include planning game, small releases, simple design, testing, refactoring, pair programming, and on-site customer involvement. Adopting XP can benefit both developers through better requirements and technical empowerment, and customers through timely delivery of valuable software that can adapt to changes.
This document provides an introduction and overview of agile project management methodologies like Scrum and how they can be used with Visual Studio Online 2013. It discusses the principles of agile, describes Scrum roles and processes, and explains how Visual Studio Online supports agile development with tools for planning, tracking work items, version control, continuous integration and more. The document aims to help Egyptian automation testers work agilely using Scrum and the cloud-based tools in Visual Studio Online.
The document provides an overview of agile methods and approaches for software development. It discusses why agility is needed given rapidly changing business environments. Traditional sequential approaches are compared to iterative agile approaches. Specific agile frameworks like Scrum, Extreme Programming (XP), Kanban, and Lean-Agile are described. Benefits of agile include increased business value, reduced risk and uncertainty, and ability to respond to changing customer needs. The document provides details on how each framework works and when each is best applied.
Managing an Experimentation Platform by LinkedIn Product LeaderProduct School
Main Takeaways:
-Establishing a culture of experimentation at scale
-Developing the product vision and strategy
-Backlog prioritization based on Impact Score formula
Zero touch QA automation platform for DevOpsTaUB Solutions
Presentation based on the Award Winning Paper by Varadarajan Srinivasan on Zero Touch QA Automation Platform at STC Nov 2018.
Companies that are in DevOps Journey go through a rough weather in QA Automation initiatives. With the industry transformation to Digital Trend, there is always a need for an efficient streamlined Continuous Delivery.
This Webinar would talk about Zero Touch QA Automation Platform. It deals with the Solution on Integrated DevOps & Quality Approach. This would consist of Artificial Intelligence in Reporting and Data Visualization. The Complete QA Cycle is automated from Test Design to Test Closure with Continuous Monitoring, involving no manual intervention. The Webinar would also give insights on Business benefits/outcome on adopting this approach with streamlined Governance.
Building a Complete Pipeline: The Essential Components of Continuous Testing ...Applitools
Full webinar recording --
In an era when testing is no longer limited to end-of-line waterfall-type process -- but is an integral and substantial part of the end-to-end development process -- it is ever more pressing to look under the hood of the tools, technologies, processes, and best practices utilized by top-notch testing teams that release world-class software.
In this webinar, we took an in-depth look at the technical aspects required to successfully scale continuous testing -- and discussed the tools and technologies used by leading engineering teams, including their approach to managing functional, performance and visual testing at scale.
We also took a hands-on approach: via a live demo, we showed how all of these come together to create a complete end-to-end quality pipeline that supports continuous testing at scale.
This document is a resume for Yogesh Fegade summarizing his professional experience and skills. It outlines over 7 years of experience in application development using C++. It also lists his technical skills like programming languages, tools, and operating systems. His work experience includes roles at Siemens PLM Software and Geometric Ltd as a technical lead and senior software engineer developing applications for NX software. It provides details of his responsibilities, achievements and education qualifications.
Yogesh Fegade is a technical lead with over 7.5 years of experience in application development using C++. He is seeking a challenging role to utilize his technical, professional and management skills. He has experience in requirements gathering, software design, testing, performance management and client relationship management. His technical skills include C++, STL, XML, Python, version control tools and IDEs like Visual Studio. He held roles as senior software engineer and technical lead at Siemens and Mindtree, working on projects involving automation design, electrical design, networking protocols and test frameworks. He received awards for his contributions and leadership.
Similar to Colombo PerfTest Meetup - April 2016 (20)
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4. The Challenges
• Shorter development cycles require more tests in
less time
• ‘Working’ code does not always perform well
• Developer needs feedback
8. Importance of Continuous Performance
Assessments?
• Avoid late performance problem discovery
• Making changes earlier when they are cheaper
Conception Design Development Testing Release
Cost to Fix a bug
X1000
X100
X10
x1
10. The Big Picture
FINAL SPRINT
DEPLOYMENT PHASE
Setup Performance
Monitoring System
Create Backlog Items
for Identified Issues
Responding to
Performance Alerts
SPRINT N
DEVELOPMENT PHASE
Bottleneck
Identification
Architecture
Assessment
Add Performance
Engineering items to
Product Backlog
Major Release
Assessment
Trend Analyzing and
Benchmarking
SPRINT N+1
Prioritization
Implementation
Re-assessment
SPRINT 0
INITIAL PHASE
Understand
Performance
Requirements
Setup Environment &
Framework
Create Performance
Strategy
Knowledge transfer
between all the
stakeholders
12. Demo
• Record JMX through BlazeMeter
• Configure Jmeter and Jenksins for the CPA
• Configure Blazemter plugin for Jenkins
• Compare the performance of builds
Editor's Notes
It is very important to do the performance assessment in any project. HealthCare web site had to shutdown after its launch. One of the reason for failure of this project was not having proper performance assessment in place.
They planned Performance Testing, But it was pushed from one sprint to another sprint due to different reasons.
Ultimate result was bad image and lost of millions of dollars. This project team had a challenge of doing performance assessment. There are some other challenges – Agile Team might face.
- In Agile development, Release cycles are very short. QA Engineers have to do lots of different type of testing in a sprint. They may have to do feature testing / Acceptance Testing, Sometimes System Test too. So how can we do a performance testing in this kind of challenging environment.
Agile teams is put on delivering working code, but is code really ‘working’ if it fails when the application is under load? Should user stories and tasks really be marked as “done” if the code associated with them causes the application to crash with 100 users?
- Developers need to know more than just the fact that their code is causing performance issues: they need to know when their code started causing problems and what story they were working on when the issue started.
Solution for this, is to do performance testing in continuous way. How about a mechanism of
What happens in the CI environment is that ,Code get checked into source control, run through a Continuous Integration build, pass all of the automated tests and unit tests ( If it is in place ) and get deployed to the production server in a matter of minutes.
How about a way to do the performance testing like the way of automation test, To run the performance script and get results.
This can be configured according to the performance requirements. Ex: You may have a function which needs to have a response time somewhere between 20ms-25 ms for a ‘X’ number of users. So we can create/compose a performance script and place it in the CI server. Whenever developer commits a change/ Whenever we get a new build, It will run through the performance script and it will give you the result. Depends on that result, Build could be in either ‘Pass’ or ‘Fail’ state.
If the Build is in ‘Fail’ state, Developer has to fix it.
Also this performance criteria / Performance result can be set in the form of graph. So that team can analyze a trend.
Keep in mind of two points,
1) Always use a static user load – We are not doing a load testing. What we do is run builds in a continuous way for a period of time to identify / analyze performance regression 2)
2) Performance script should be good. It should be according to the service level agreement.
Above points will be depend on the importance of the business functionality.
This is how we do Continuous performance assessment If you have Continuous : Integration in place.
- For today’s demo, We are going to use a server which installed Jenkins and we are going to run our performance scripts on top of that.
Here you can see that Build # 5 has a response time of 1400 ms, But Build #9 has a 800 ms. What we can learn from this downwards trend is that developers are doing something and that is helping to reduce the response time. But in Build #10 response time again increases to 1000 ms. There is something related to performance happens again.
But we are not going to report an issue at this point. Reason for this sudden increase could be something because of a network related issue. But If next build ( which will run on next day ) has a same response time around 1000 ms, then you will see an upwards trend on response.
Now this would be a good time to inform developers about this, So developers know that something happened on Build#9. They can easily check the changesets / Builds and isolate performance issue.
- One of the importance of continuous performance assessments is that, it will avoid late performance issues. If you identify your performance issues early as possible, It would be easy to fix and this can save your company thousand or even millions.
This is how everything connects in the continuous delivery model.
Everything goes with a cost, so you need to educate your clients on the importance of this. Knowledge transferring & then understand performance requirements / create performance strategy
Then you can move to arch: assessments , analyze the trends , do some release assessments and start adding performance issues to the backlog ( Ex: If you use Jira, you can add a tag )
Then prioritize items and fix it. Continuously check items and continually fixing issues
Then finally you can set up Application Performance systems such as NewRelic.
This is not only way to implement Continuous performance assessments, Different tools like Telerik/ DynaTrace has a way to implement continuous performance assessments