While you might truly care about product quality, all QA engineers tend to fall for these mistakes every now and then. Here are some habits that you should avoid to produce high-quality work.
Automated Agility?! Let's Talk Truly Agile Testing - Adam Howard - AgileNZ 2017AgileNZ Conference
The move towards agility is an acceptance that we operate in an uncertain world. We can’t predict what will change in the future so we’ve evolved our practices toward flexibility, instead of attempting precognition. But have we evolved every practice?
About Adam Howard:
Adam Howard is the Test Practice Manager at Trade Me in Wellington, New Zealand. He is passionate about helping to evolve the way testing is perceived and performed. A regular speaker at Meetups and conferences in NZ and internationally, Adam also helps organise local WeTest Workshops and is chief design and layout editor for Testing Trapeze, a bi-monthly testing magazine. He also writes about testing on his blog and occasionally manages to be concise enough to tweet as @adammhoward.
The document discusses an approach called "Failure Driven Development" where software engineers intentionally break their code to avoid "perfectionist paralysis" and help them write code that is robust. It recommends that engineers first focus on getting their code to work before refining it, treat their code like "beater code", write tests to catch failures without disastrous consequences, and use staging environments that mimic production to safely break things and practice recovering from failures. Dates and times will inevitably cause issues no matter how careful engineers are.
No, it is not necessarily a bug. The code is skipping file names that start with a period, which is common for hidden or system files in some operating systems. Without more context on the intended behavior, this alone does not indicate a bug.
The document discusses automating exploratory testing by creating an app crawler that can emulate user interactions, test across different platforms, languages, resolutions and orientations. Some key points:
- Automated exploratory testing is needed due to shorter release cycles and less manual testing time.
- The author created an app crawler that can capture elements, images, errors, exceptions, performance data and replay tests across platforms.
- Challenges include handling authentication, detecting unique locators, and rescuing apps that get stuck.
- The crawler detects languages, monitors logs and exceptions, and uses Applitools for image validation to further automate the process.
- The goal is to help fill quality gaps
The software industry is witnessing a strong momentum in the adoption of agile and lean practices. Agile, Lean, Continuous Delivery, DevOps, Lean Startup have a massive impact on the role of testers. Discover how to stay relevant as a tester in a changing world.
The document discusses various confusions and misconceptions around software testing. It argues that there is no such thing as "manual testing" and instead testing should be viewed on a spectrum of degree of interactivity and tool support. It also discusses how testing is providing quality-related information about a product efficiently to stakeholders, and how testing involves experimentation rather than just checking. The document emphasizes the importance of understanding complex environments using the Cynefin model, and developing personal qualities like curiosity, precision, and community involvement to continually learn and improve testing practices.
This document summarizes the agenda and discussion at an Agile Testing meetup group. It introduces the purpose of the group as a place for testers to share experiences and learn new skills in Agile Testing. Key topics discussed include the benefits of testing earlier in the development cycle using automated tools. A demonstration was given of a keyword driven web testing solution using WebDriver and FitNesse. Attendees then shared challenges with testing in Agile and ideas for future meetup activities.
Automated Agility?! Let's Talk Truly Agile Testing - Adam Howard - AgileNZ 2017AgileNZ Conference
The move towards agility is an acceptance that we operate in an uncertain world. We can’t predict what will change in the future so we’ve evolved our practices toward flexibility, instead of attempting precognition. But have we evolved every practice?
About Adam Howard:
Adam Howard is the Test Practice Manager at Trade Me in Wellington, New Zealand. He is passionate about helping to evolve the way testing is perceived and performed. A regular speaker at Meetups and conferences in NZ and internationally, Adam also helps organise local WeTest Workshops and is chief design and layout editor for Testing Trapeze, a bi-monthly testing magazine. He also writes about testing on his blog and occasionally manages to be concise enough to tweet as @adammhoward.
The document discusses an approach called "Failure Driven Development" where software engineers intentionally break their code to avoid "perfectionist paralysis" and help them write code that is robust. It recommends that engineers first focus on getting their code to work before refining it, treat their code like "beater code", write tests to catch failures without disastrous consequences, and use staging environments that mimic production to safely break things and practice recovering from failures. Dates and times will inevitably cause issues no matter how careful engineers are.
No, it is not necessarily a bug. The code is skipping file names that start with a period, which is common for hidden or system files in some operating systems. Without more context on the intended behavior, this alone does not indicate a bug.
The document discusses automating exploratory testing by creating an app crawler that can emulate user interactions, test across different platforms, languages, resolutions and orientations. Some key points:
- Automated exploratory testing is needed due to shorter release cycles and less manual testing time.
- The author created an app crawler that can capture elements, images, errors, exceptions, performance data and replay tests across platforms.
- Challenges include handling authentication, detecting unique locators, and rescuing apps that get stuck.
- The crawler detects languages, monitors logs and exceptions, and uses Applitools for image validation to further automate the process.
- The goal is to help fill quality gaps
The software industry is witnessing a strong momentum in the adoption of agile and lean practices. Agile, Lean, Continuous Delivery, DevOps, Lean Startup have a massive impact on the role of testers. Discover how to stay relevant as a tester in a changing world.
The document discusses various confusions and misconceptions around software testing. It argues that there is no such thing as "manual testing" and instead testing should be viewed on a spectrum of degree of interactivity and tool support. It also discusses how testing is providing quality-related information about a product efficiently to stakeholders, and how testing involves experimentation rather than just checking. The document emphasizes the importance of understanding complex environments using the Cynefin model, and developing personal qualities like curiosity, precision, and community involvement to continually learn and improve testing practices.
This document summarizes the agenda and discussion at an Agile Testing meetup group. It introduces the purpose of the group as a place for testers to share experiences and learn new skills in Agile Testing. Key topics discussed include the benefits of testing earlier in the development cycle using automated tools. A demonstration was given of a keyword driven web testing solution using WebDriver and FitNesse. Attendees then shared challenges with testing in Agile and ideas for future meetup activities.
Why Your Selenium Tests are so Dang Brittle, and What to Do About ItJay Aho
This document discusses strategies for making Selenium web application GUI tests less brittle. It recommends writing fewer GUI tests and more unit and integration tests. For the GUI tests that are written, it suggests hand coding the tests in Java rather than recording and playback, using object oriented design principles, keeping test framework code dry while allowing test code to be wetter, and using element locators like ID attributes and xpath as a last resort. The document then provides examples of code that implements these strategies.
This document discusses exploratory testing in agile teams. It begins with an agenda that covers what exploratory testing is, why it is useful, and how it fits into an agile context. It then addresses some pain points such as not having enough time for exploratory testing or testing only happening at the end of a sprint. Success factors include having some test automation to allow more time for exploratory testing, making time for testing throughout the sprint rather than just at the end, and involving the entire team in testing. The presentation concludes with questions for discussion.
Presented at https://www.onlinetestconf.com/program-spring-otc-2020/
Sometimes you’re asked to start testing in a context that is not ideal: you’ve only just joined the project, the test environment is broken, the product is migrating to a new stack, the developer has left, no-one seems quite sure what’s being done or why, and there is not much time.
Knowing where to begin and what to focus on can be difficult and so in this talk I’ll describe how I try to meet that challenge.
I’ll share a definition of testing which helps me to navigate uncertainty across contexts and decide on a starting point. I’ll catalogue tools that I use regularly such as conversation, modelling, and drawing; the rule of three, heuristics, and background knowledge; mission-setting, hypothesis generation, and comparison. I’ll show how they’ve helped me in my testing, and how I iterate over different approaches regularly to focus my testing.
The takeaways from this talk will be a distillation of hard-won, hands-on experience that has given me
* an expansive, iterative view of testing
* a comprehensive catalogue of testing tools
* the confidence to start testing anything from anywhere
The document discusses planning and estimating user stories for software development. It provides guidance on writing user stories, estimating story points, determining team velocity, prioritizing stories, and planning releases using techniques like setting up buckets for "must have", "should have", and "could have" stories. The developer's responsibilities include estimating stories accurately and not giving into pressure to provide lower estimates. The customer is responsible for prioritizing stories and having visibility into risks of different priority choices.
The document discusses testing challenges for teams transitioning to agile and provides recommendations for addressing them. It recommends starting with automating frequent, time-consuming tasks to "stop the bleeding". It also suggests beginning pair testing and programming to facilitate collaboration between testers and developers. The document advocates filling in test automation over time using the test automation pyramid and testing quadrants frameworks as guides.
An Approach to Automated Application TuningMike Huang
This document presents an approach to automated application tuning. It discusses the challenges of manual tuning and proposes constructing a model to understand interactions and define success criteria. Key tunables are identified. The approach is illustrated through a story of improving resiliency to downstream failures by modeling service dependencies and interactions. Automation is presented as an ideal but challenges in data and assumptions are acknowledged.
The document discusses code smells that indicate issues with software design, including rigidity, fragility, immobility, viscosity, needless complexity, and opacity. It provides examples and questions to help identify when code exhibits these smells and suggests approaches to address them, such as improving reusability, reducing duplication, and employing techniques like peer review and documentation.
How to Deliver the Right Software (Specification by example)Asier Barrenetxea
Talk about Specification by Example. What's the problems it tries to tackle and how to solve them.
I gave this talk at findmypast.com on a "lunch and learn" weekly meeting for the company.
This is a new version of my previous presentation about "Specification by example"
http://www.slideshare.net/AsierBarrenetxea1/specification-by-example-33594438
Product Experimentation Pitfalls & How to Avoid Them Optimizely
This document discusses building a culture of experimentation to drive product innovation. It advocates embracing failure and validating decisions with data rather than following orders or claiming success. The document outlines approaches to experimentation like frequent small releases, feature flagging, and A/B testing. It also describes four common pitfalls to avoid: optimizing the wrong metrics, getting tricked by statistics, thinking too small with only A/B tests, and hoarding insights rather than sharing learnings. The overall message is that organizations should aim to conduct thousands of experiments annually to iteratively improve products and scale an experimentation mindset throughout the company.
The document provides tips for preparing for a hackathon event called the WebGeek DevCup. It recommends preparing your application framework ahead of time by choosing technologies and setting up modules like authentication, but not completing the full application. It also suggests preparing your development environment, using version control, potentially deploying code, and ensuring good team communication and self-care during the event. The goal is to minimize time spent on setup during the hackathon in order to focus on coding the full application within the limited timeframe.
Reduce Manual Testing with this One Weird TickJohn Reese
The document discusses the benefits of unit testing over manual testing, including reduced time spent on manual tests, protection against regressions, executable documentation, and less coupled code design. It provides examples of what unit tests look like using an "arrange, act, assert" structure. It also discusses test-driven development and transforming code to be more testable through practices like removing conditionals and replacing constants with variables. The document advocates for unit testing but notes there is no "silver bullet" and tests can diminish value if not implemented properly.
Security vulnerabilities for grown ups - GOTOcon 2012Vitaly Osipov
- Security vulnerabilities are common in mid-sized software with over 100,000 lines of code and third-party libraries. Even small bugs can combine to cause major incidents if not addressed.
- External dependencies like frameworks and libraries can introduce vulnerabilities that affect a product. Thoroughly vetting all external code used is important for prevention.
- While developing new features is exciting, security issues are less appealing for developers to fix. However, prioritizing response, validation, and prevention is important as vulnerabilities are difficult to address as a product and codebase grows. Having the right processes, trained staff, and prioritizing fixing issues can help manage security risks over the long run.
This document discusses running acceptance tests as monitors in production environments. It describes why this can be useful for failure detection, capacity planning, and gaining business insights. However, care must be taken to avoid polluting data or sending unnecessary alerts. The author demonstrates a tool called atam4j that treats acceptance tests as a microservice, similar to other applications, making them easier to deploy and monitor in production.
At one time or another, every tester hears the dreaded question, “Why didn’t you guys catch these bugs?” We all have some standard responses, and they are most likely true). But what can we learn about our testing when we look beyond the easy answers? Pamela Gillaspie proposes that the key to improving your testing is determining the areas where bugs are slipping past your defenses. For her team, the practice is a lot like basketball. If you group the bugs into zones, you can devise a strategy to cover those zones more effectively. Some zones need a different testing approach than you’ve used; others might reveal a need for closer communication. Join Pamela as she shares her experience as defensive coordinator, addressing the developers’ playbook (What kinds of recurring problems do we see?), trick plays (The user is doing what?), and penalties (That wasn’t in the requirements!).
This chapter introduces fundamentals of software testing. It discusses the skills required to become a software tester, including analytical, communication, time management, and technical skills. It explains the importance of software testing and principles of testing such as defect clustering, pesticide paradox, and early testing. It also discusses the difference between the software development lifecycle and software testing lifecycle, with testing phases corresponding to development phases.
A Context-Driven Approach to Automation in TestingBugRaptors
: "To help ourselves test better, Context-Driven testers use tools. But, there is no such thing as Automation”
While reading the James Bach's blog, I found an interesting view about “Automation” in testing from Michael Bolton and James Bach.
Automating Mobile Testing at Gilt with AppiumSauce Labs
Gilt developed their mobile app using Appium for automated testing. They learned that accessibility is important for both users and tests. Page object patterns help organize tests, and tests should check page state before actions. Complex user flows are better tested through the API than UI automation. Clever UI hacks often cause testing and accessibility issues. The community contributes greatly to Appium's continued improvement.
5 reasons you'll love to hate Agile DevelopmentArin Sime
This is a presentation that Arin Sime of AgilityFeat gave at the 2013 Innovate Virginia conference, on 5 reasons why you will love to hate agile development. He presents 5 different areas that as an agile coach he has often seen teams struggle with when moving to agile methods. For each area, Arin discussed why you should try it anyways and suggested strategies for tackling the problems head on.
This document provides an introduction to software testing fundamentals. It discusses why testing is important to find defects, how testing promotes quality, and how testing fits into quality assurance. It defines key terms like bug, defect, error, failure, fault, and explains causes of software defects. It discusses when defects arise and the costs of defects. It also covers the role of testing in software development and maintenance, how testing relates to quality, and challenges around determining how much testing is needed. Finally, it discusses using defect data to plan tests and how testing aims to improve quality but can never prove a system is completely defect-free.
This document outlines common mistakes made by new performance test engineers. It discusses 6 main mistakes: 1) only checking HTTP status codes without validating transactions, 2) using improper think and pause times, 3) prematurely identifying bottlenecks without root cause analysis, 4) making false assumptions during tests, 5) attempting analysis before tests complete, and 6) getting stuck on anomalies that don't reproduce by only running tests once. The document emphasizes the importance of validation, realistic timing, methodical testing, letting tests complete before analysis, and running tests multiple times to avoid non-reproducible issues.
This document summarizes a presentation on best practices for using Selenium for test automation. The presentation covers 12 steps: 1) Admit you have a problem; 2) Take a deep breath; 3) Try looking at things differently; 4) Pump some tech iron; 5) Find your inner Napoleon and develop a strategy; 6) Break down the wall between QA and development; 7) Learn the terrain; 8) Test less but test well; 9) Keep it lean and optimize; 10) Pay it forward by sharing knowledge; 11) Resources for learning Selenium; 12) Recap of the 12 steps. The document provides additional details on each step and recommendations for learning more.
Why Your Selenium Tests are so Dang Brittle, and What to Do About ItJay Aho
This document discusses strategies for making Selenium web application GUI tests less brittle. It recommends writing fewer GUI tests and more unit and integration tests. For the GUI tests that are written, it suggests hand coding the tests in Java rather than recording and playback, using object oriented design principles, keeping test framework code dry while allowing test code to be wetter, and using element locators like ID attributes and xpath as a last resort. The document then provides examples of code that implements these strategies.
This document discusses exploratory testing in agile teams. It begins with an agenda that covers what exploratory testing is, why it is useful, and how it fits into an agile context. It then addresses some pain points such as not having enough time for exploratory testing or testing only happening at the end of a sprint. Success factors include having some test automation to allow more time for exploratory testing, making time for testing throughout the sprint rather than just at the end, and involving the entire team in testing. The presentation concludes with questions for discussion.
Presented at https://www.onlinetestconf.com/program-spring-otc-2020/
Sometimes you’re asked to start testing in a context that is not ideal: you’ve only just joined the project, the test environment is broken, the product is migrating to a new stack, the developer has left, no-one seems quite sure what’s being done or why, and there is not much time.
Knowing where to begin and what to focus on can be difficult and so in this talk I’ll describe how I try to meet that challenge.
I’ll share a definition of testing which helps me to navigate uncertainty across contexts and decide on a starting point. I’ll catalogue tools that I use regularly such as conversation, modelling, and drawing; the rule of three, heuristics, and background knowledge; mission-setting, hypothesis generation, and comparison. I’ll show how they’ve helped me in my testing, and how I iterate over different approaches regularly to focus my testing.
The takeaways from this talk will be a distillation of hard-won, hands-on experience that has given me
* an expansive, iterative view of testing
* a comprehensive catalogue of testing tools
* the confidence to start testing anything from anywhere
The document discusses planning and estimating user stories for software development. It provides guidance on writing user stories, estimating story points, determining team velocity, prioritizing stories, and planning releases using techniques like setting up buckets for "must have", "should have", and "could have" stories. The developer's responsibilities include estimating stories accurately and not giving into pressure to provide lower estimates. The customer is responsible for prioritizing stories and having visibility into risks of different priority choices.
The document discusses testing challenges for teams transitioning to agile and provides recommendations for addressing them. It recommends starting with automating frequent, time-consuming tasks to "stop the bleeding". It also suggests beginning pair testing and programming to facilitate collaboration between testers and developers. The document advocates filling in test automation over time using the test automation pyramid and testing quadrants frameworks as guides.
An Approach to Automated Application TuningMike Huang
This document presents an approach to automated application tuning. It discusses the challenges of manual tuning and proposes constructing a model to understand interactions and define success criteria. Key tunables are identified. The approach is illustrated through a story of improving resiliency to downstream failures by modeling service dependencies and interactions. Automation is presented as an ideal but challenges in data and assumptions are acknowledged.
The document discusses code smells that indicate issues with software design, including rigidity, fragility, immobility, viscosity, needless complexity, and opacity. It provides examples and questions to help identify when code exhibits these smells and suggests approaches to address them, such as improving reusability, reducing duplication, and employing techniques like peer review and documentation.
How to Deliver the Right Software (Specification by example)Asier Barrenetxea
Talk about Specification by Example. What's the problems it tries to tackle and how to solve them.
I gave this talk at findmypast.com on a "lunch and learn" weekly meeting for the company.
This is a new version of my previous presentation about "Specification by example"
http://www.slideshare.net/AsierBarrenetxea1/specification-by-example-33594438
Product Experimentation Pitfalls & How to Avoid Them Optimizely
This document discusses building a culture of experimentation to drive product innovation. It advocates embracing failure and validating decisions with data rather than following orders or claiming success. The document outlines approaches to experimentation like frequent small releases, feature flagging, and A/B testing. It also describes four common pitfalls to avoid: optimizing the wrong metrics, getting tricked by statistics, thinking too small with only A/B tests, and hoarding insights rather than sharing learnings. The overall message is that organizations should aim to conduct thousands of experiments annually to iteratively improve products and scale an experimentation mindset throughout the company.
The document provides tips for preparing for a hackathon event called the WebGeek DevCup. It recommends preparing your application framework ahead of time by choosing technologies and setting up modules like authentication, but not completing the full application. It also suggests preparing your development environment, using version control, potentially deploying code, and ensuring good team communication and self-care during the event. The goal is to minimize time spent on setup during the hackathon in order to focus on coding the full application within the limited timeframe.
Reduce Manual Testing with this One Weird TickJohn Reese
The document discusses the benefits of unit testing over manual testing, including reduced time spent on manual tests, protection against regressions, executable documentation, and less coupled code design. It provides examples of what unit tests look like using an "arrange, act, assert" structure. It also discusses test-driven development and transforming code to be more testable through practices like removing conditionals and replacing constants with variables. The document advocates for unit testing but notes there is no "silver bullet" and tests can diminish value if not implemented properly.
Security vulnerabilities for grown ups - GOTOcon 2012Vitaly Osipov
- Security vulnerabilities are common in mid-sized software with over 100,000 lines of code and third-party libraries. Even small bugs can combine to cause major incidents if not addressed.
- External dependencies like frameworks and libraries can introduce vulnerabilities that affect a product. Thoroughly vetting all external code used is important for prevention.
- While developing new features is exciting, security issues are less appealing for developers to fix. However, prioritizing response, validation, and prevention is important as vulnerabilities are difficult to address as a product and codebase grows. Having the right processes, trained staff, and prioritizing fixing issues can help manage security risks over the long run.
This document discusses running acceptance tests as monitors in production environments. It describes why this can be useful for failure detection, capacity planning, and gaining business insights. However, care must be taken to avoid polluting data or sending unnecessary alerts. The author demonstrates a tool called atam4j that treats acceptance tests as a microservice, similar to other applications, making them easier to deploy and monitor in production.
At one time or another, every tester hears the dreaded question, “Why didn’t you guys catch these bugs?” We all have some standard responses, and they are most likely true). But what can we learn about our testing when we look beyond the easy answers? Pamela Gillaspie proposes that the key to improving your testing is determining the areas where bugs are slipping past your defenses. For her team, the practice is a lot like basketball. If you group the bugs into zones, you can devise a strategy to cover those zones more effectively. Some zones need a different testing approach than you’ve used; others might reveal a need for closer communication. Join Pamela as she shares her experience as defensive coordinator, addressing the developers’ playbook (What kinds of recurring problems do we see?), trick plays (The user is doing what?), and penalties (That wasn’t in the requirements!).
This chapter introduces fundamentals of software testing. It discusses the skills required to become a software tester, including analytical, communication, time management, and technical skills. It explains the importance of software testing and principles of testing such as defect clustering, pesticide paradox, and early testing. It also discusses the difference between the software development lifecycle and software testing lifecycle, with testing phases corresponding to development phases.
A Context-Driven Approach to Automation in TestingBugRaptors
: "To help ourselves test better, Context-Driven testers use tools. But, there is no such thing as Automation”
While reading the James Bach's blog, I found an interesting view about “Automation” in testing from Michael Bolton and James Bach.
Automating Mobile Testing at Gilt with AppiumSauce Labs
Gilt developed their mobile app using Appium for automated testing. They learned that accessibility is important for both users and tests. Page object patterns help organize tests, and tests should check page state before actions. Complex user flows are better tested through the API than UI automation. Clever UI hacks often cause testing and accessibility issues. The community contributes greatly to Appium's continued improvement.
5 reasons you'll love to hate Agile DevelopmentArin Sime
This is a presentation that Arin Sime of AgilityFeat gave at the 2013 Innovate Virginia conference, on 5 reasons why you will love to hate agile development. He presents 5 different areas that as an agile coach he has often seen teams struggle with when moving to agile methods. For each area, Arin discussed why you should try it anyways and suggested strategies for tackling the problems head on.
This document provides an introduction to software testing fundamentals. It discusses why testing is important to find defects, how testing promotes quality, and how testing fits into quality assurance. It defines key terms like bug, defect, error, failure, fault, and explains causes of software defects. It discusses when defects arise and the costs of defects. It also covers the role of testing in software development and maintenance, how testing relates to quality, and challenges around determining how much testing is needed. Finally, it discusses using defect data to plan tests and how testing aims to improve quality but can never prove a system is completely defect-free.
This document outlines common mistakes made by new performance test engineers. It discusses 6 main mistakes: 1) only checking HTTP status codes without validating transactions, 2) using improper think and pause times, 3) prematurely identifying bottlenecks without root cause analysis, 4) making false assumptions during tests, 5) attempting analysis before tests complete, and 6) getting stuck on anomalies that don't reproduce by only running tests once. The document emphasizes the importance of validation, realistic timing, methodical testing, letting tests complete before analysis, and running tests multiple times to avoid non-reproducible issues.
This document summarizes a presentation on best practices for using Selenium for test automation. The presentation covers 12 steps: 1) Admit you have a problem; 2) Take a deep breath; 3) Try looking at things differently; 4) Pump some tech iron; 5) Find your inner Napoleon and develop a strategy; 6) Break down the wall between QA and development; 7) Learn the terrain; 8) Test less but test well; 9) Keep it lean and optimize; 10) Pay it forward by sharing knowledge; 11) Resources for learning Selenium; 12) Recap of the 12 steps. The document provides additional details on each step and recommendations for learning more.
1. The document discusses lessons learned about agile testing and automation. It emphasizes that testing is more than just checking and that both automated and exploratory testing are important.
2. It recommends automating output checking where possible but also using exploratory testing. It also stresses the importance of unit, integration and end-to-end tests as well as code reviews.
3. The document advocates for test-driven development and notes how automated tests can reduce regression testing time. It emphasizes that successful testing requires collaboration between developers, testers and business stakeholders.
My talk at CodeFest 2017 in Novosibirsk, Russia. I talk about the benefits of adding a app crawler to your build process. In todays Agile world it's becoming difficult to keep up with the amount of manual and exploratory testing with shorter and shorter sprint iterations. It's time to put machines to work and help take some of the load off of us!
10 QA Pitfalls To Avoid When Developing A Mobile AppGear Inc.
It is pretty normal for errors to occur at any stage of the app development life cycle. No matter how trained and dedicated a team you have, errors are bound to creep into projects. This implies that there is always a scope for improvement in quality.
In this slideshare we touch on 10 points that your app development process can benefit from.
Fantastic Tests - The Crimes of Bad Test DesignWinston Laoh
The document discusses why testing is important and what causes bad tests. Testing provides comfort and confidence by knowing if new code breaks existing functionality. Bad tests have a wide scope so it's unclear what they test, depend on specific orders or system states, are too similar to the product without the same fragility, or are not similar enough to the user experience. The key is for tests to be independent of order or system state and balance similarity to the product with enough differences to reliably fail when bugs are present.
TOPS Technologies offer Professional Software Testing Training in Ahmedabad.
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http://www.tops-int.com/live-project-training-software-testing.html
Most experienced IT Training Institute in Ahmedabad known for providing software testing course as per Industry Standards and Requirement.
The Continuing Relevance of Manual Testing.pdfMindfire LLC
Automation is most advantageous for regular and repeated testing, which may be very time-consuming and tiresome when done manually. However, automation cannot match a human’s intuitiveness, broad knowledge, and iterative assessment skills.
Już sam tytuł ma wydźwięk mocno kontrowersyjny. Jak to zapomnieć o jakości, zwłaszcza na konferencji poświęconej zapewnianiu jakości i testowaniu?
Nie ukrywam, że moim celem jest wywołanie kontrowersji. Chciałbym rozpocząć dyskusję o znajdowaniu balansu pomiędzy prewencją, testowaniem a głodem podjęcia ryzyka przy wypuszczaniu niepewnych zmian w świecie ciągłego dostarczania, wdrażania.
Popularne wśród testerów są dzisiaj dwa tematy. Shift Left, czyli zwrócenie swojej uwagi na jak najwcześniejsze etapy wytwarzania oprogramowania w celu eliminacji problemów przed ich wystąpieniem, oraz DevOps, czyli przygotowanie podłoża pod wdrażanie niepewnych zmian w sposób jak najbardziej ograniczający ryzyko idące za zmianą i redukujące czas reakcji w przypadku problemu.
Gdzie przy Shift Left a DevOps znajdujemy czas na testowanie? Czy w ogóle potrzebujemy testowania? W jaki sposób i na podstawie jakich przesłanek podjąć decyzję o inwestycji w prewencje, zamiast w odpowiedni monitoring na produkcji?
Podzielę się z wami moimi doświadczeniami oraz konkretnymi technikami, które stosujemy zamiennie z testowaniem, przy pracy z produktem ciągle wdrażanym. Pokażę, jak Shift Left i DevOps wpłynęły na sposób mojej pracy. Naszkicuję problemy stawiane testerom w dzisiejszych realiach, kiedy to stawiamy się na szybkość, a każda mała zmiana potencjalnie ingerująca w pracę programistów musi zostać poprzedzona konkretną analizą strat i korzyści.
Pokażę, że koniec końców osobie dbającej o jakość powinno również zależeć na prędkości. Szybki zespół to zespół dostarczający wysokiej jakości oprogramowanie. Zespół, który nie traci czasu na rozwiązywanie problemów, których nie tworzy.
This document discusses common mistakes made in software testing. It identifies five themes of mistakes: the role of testing, planning the testing effort, personnel issues, the tester at work, and overreliance on technology. Under the first theme, it discusses mistakes like defining the role of testing too narrowly and not providing context for bug data. The second theme discusses mistakes like a bias toward functional testing over scenario and configuration testing. It also discusses not testing documentation, installation, stress, and load.
A software, undergoes countless brainstorm sessions, rigorous testing in IT environment management and then comes to the production. The task of adding more features to software is like a maze game. The end question that leaves everybody wondering is “How the hell did this functionality come here?”. Famous by various other terms like, “Scope creep”, “requirement creep”, refers to unforeseen requests for the addition of features that are not listed in the project scope.
The document discusses challenges in software testing in terms of social and mobile contexts. It emphasizes understanding user needs and behavior to design effective tests. Mobile apps are used on the go in a hurry, so tests should focus on usability and the easiest user experience across varying devices and platforms. Both manual and automated testing are needed, with automation helping increase coverage but not replacing human judgment. Quality is a shared responsibility between testers and developers.
The document discusses techniques for software testers to advocate for bugs they have found to get them prioritized and fixed. It recommends testers think of bug reports as tools to convince programmers to spend time fixing issues. Effective bug reports motivate programmers by highlighting impact and addressing objections. Testers should research failure conditions thoroughly by varying their own behavior, program options/settings, and software/hardware environments to prove bugs are more serious or widespread than initially found. The goal is to provide compelling arguments to prioritize and fix bugs.
Similar to Seven Bad Habits to Avoid As a QA Engineer (20)
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2. Why have testers gotten a bad reputation?
rockinterview.in
Some software developers, product owners, and managers assume that quality
assurance (QA) engineers are people who wanted to be developers and lacked the
necessary skill or grit to succeed.
However, it is not necessarily true and most testers are people who genuinely care
about the quality of the product they are testing.
The bad reputation that testers have gotten is because of bad habits they have
developed over the course of their careers.
4. Bad Habit 1:Testing things you
don't understand
We’ve all been there where you have to test a
code that no one is entirely sure what the code
does, how to change it, or what changes have
been made.
Here’s the problem with this scenario: How do
you know the developer is right? If the issue is
not fixed, and there is a failure in production, your
manager will come back to you with questions.
rockinterview.in
Good Habits to replace
them with
Ask questions. Ask your developer to
explain to you how the feature works
and what changes were made to it.
Keep on asking clarifying questions
until you really understand what is
happening.
5. Bad Habit 2:Testing only what the
story tells you to test
Our development stories often contain
acceptance criteria (AC), which outline
exactly how the new feature or fix should
behave. Most often they contain only
“Happy Path” scenarios thus leaving out
test scenarios where bugs could be hiding.
Testers will often assume that the
developer knows best and will test only the
AC. This means that there may be critical
areas that are left untested and bugs left
undetected.
rockinterview.in
Good Habits to replace
them with
One of the skills as QA engineers is
being able to think about what might go
wrong; you need to use this skill with
every story you test.
Before you sign off on the AC, ask
yourself, “Can I think of anything else to
test here? Is there anything I’ve
missed?” This will often help you find
bugs in areas that no one else
thought of.
6. Bad Habit 3: Assuming that odd
behavior is correct behavior
Often, when we are testing a new feature, we
run across behavior that doesn’t make sense.
Perhaps it’s an odd page refresh or a navigation
to a place we weren’t expecting.
It’s easy when we are testing on a deadline to
focus so much on the AC of the story that odd
behaviour gets pushed to the back of our mind.
You might think about asking the Dev about that
when the story is done and often forget it.
rockinterview.in
Good Habits to replace
them with
Listen to your instincts. If the behaviour
is odd, there’s a very high probability
that end users are going to find it odd
as well; they may even find it so
frustrating that they stop using the
application.
If your instinct is telling you that
something isn’t quite right, document
your testing and speak up about what
you are seeing.
7. Bad Habit 4: Chasing things down
the rabbit hole
Sometimes QA engineers are so focused on
finding every single thing wrong with an
application, no matter how tiny, that they
wind up in “analysis paralysis” and bring their
team’s progress to a halt.
While some hard-to-spot bugs can be fun to
chase down, it often involves behaviours that a
user would never, ever do, and the bug itself
isn't particularly harmful.
rockinterview.in
Good Habits to replace
them with
Focus on real-world use cases. Always
remember that our focus should be on
making sure that our software works
well for our users and that our software
is well-protected from malicious users.
If you find yourself going down the
rabbit hole, ask yourself if your time
could be better spent testing more
realistic use cases.
8. Bad Habit 5: Automating Tests for
the sake of doing automation
QA engineers who have learned how to write
automation discover that automating things is
fun. But automation is not always the answer.
By jumping into automation even before you
have understood the feature as an end user,
you can wind up automating tests that don't
exercise the feature well. You can also miss
key features.
rockinterview.in
Good Habits to replace
them with
Take the time to do manual, exploratory
testing to get to know a feature. Ask
questions about how the feature will be
used. Think about what your end users
will do.
Find as many bugs as you can. Then,
start to think about how you should
automate it.
9. Bad Habit 6: Creating complicated
and flaky tests
While automating tests, do not automate
them like they were manual tests. This can
result in a lot of steps and implicit waits
making the tests extremely flaky.
The more steps a test has, the more likely it
is that some test step will fail, causing the
entire test to fail. This can result in a
tremendous waste of time.
rockinterview.in
Good Habits to replace
them with
Automated tests should be simple, with
each test checking only one thing. Take
a look at your UI tests and see if they
could be automated with API tests
instead which are faster and more
reliable.
When a UI test is needed, be sure to
use explicit waits rather than implicit
waits to reduce flakiness.
10. Bad Habit 7: Accepting a poor
user experience
Sometimes, when we are working on a
deadline and have many stories to test, we
look only at the functionality of a feature.
But, it’s important to remember the end
users. If a user doesn’t understand what to
do on the page or finds that they have to click
several times in order to get something done,
they will be frustrated and won’t want to use
the product.
rockinterview.in
Good Habits to replace
them with
Always think of your end users when
testing your application. Find out from
your product owner what the expected
workflows are and run through those
workflows.
Ask yourself what you would think of
the product’s behaviour if you were the
end user rather than the tester. If the
behavior would frustrate you, advocate
for a change in the behaviour.