Test Planning
Articles
For Sustainable Test Automation, Look beyond the Surface When it comes to achieving sustainable test automation, having an appropriate test automation team structure in place is the most important first step to take. This article has some proven practices for a few different test automation adoption scenarios—led by an automation team or a regression team, and with agile adaptations—that have helped organizations enjoy long-term test automation success. |
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Solving Production Issues Using Testing Tools Standard web-monitoring tools can ping webpages and verify that they’re responding, but they don’t alert you to an issue. But you can use the technology in load testing to monitor your sites by running an interactive script that can detect issues and generate emails as needed. It runs constantly like a silent sentry, never sleeping or taking a vacation, improving your sites' reliability. |
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The Who, What, When, and How of Pair Testing Pair testing can help you speed up your test assignment and provide more quality to your test results. But who can do pair testing, and when should they do it? And what kind of pair testing is best for your situation? This article gives you more information about how you should conduct pair testing in order to maximize its benefits. |
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Complex, Critical Software System Testing: When Automation Is the Only Option While some testers are unfamiliar with test execution automation, the growing trend into automation necessitates new skills for manual testers. Project test teams need to become aware of this trend, as automation represents not only business opportunities, but also increased quality and fewer risks in complex, safety-critical, and mission-dependent projects. |
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When Testers Should Consider a Bug a Duplicate When can a bug report be considered redundant because it is already reported in the bug management system? If you ask the developers, if two bugs are caused by the same mistake in the code, it’s enough to report one of them. But Michael Stahl has good arguments from a tester's perspective about why it's better to err on the side of over-reporting bugs. |
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Learn More from Tests That Stray off the Happy Path Unit tests exercise various paths through your codebase. Some are happy paths where everything you expect goes right. These tests are boring. The interesting tests are the ones where your code goes hurtling off the happy path. The trick is to capture the diversity of a multitude of unhappy paths without needlessly duplicating unit tests. Here's how you can improve the quality of your unit testing and fix it more effectively. |
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Requirements Mapping Using Business Function Test Suites On this team, testers were overcommitted, avoidable defects were surfacing, and documentation was hard to find. Worse, trust and morale were low. Upgrading tools was out of the question, so the testers decided to take matters into their own hands and create incremental change themselves. Here's how a team added a new type of traceability to its requirement test case world. |
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Lessons Learned Testing Angular Applications AngularJS is a framework used for organization of JavaScript code in highly interactive web and mobile applications. What does that mean from a testing perspective? Here's what should be in your test strategy when you’re testing Angular applications, including what might give you difficulty and how you can mitigate challenges. |
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DevSecOps: Incorporate Security into DevOps to Reduce Software Risk DevSecOps is a growing movement to incorporate security into DevOps practices in order to ensure flaws and weaknesses are exposed early on through monitoring, assessment, and analysis, so remediation can be implemented far earlier than traditional efforts. By failing fast with security testing, organizations reduce risk of a security incident and decrease the cost of rework. |
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7 Steps to Improving Your Data Testing When you have tens of thousands of rows of data, how do you know what to test or how much to test? A set percentage? Random test cases? When do you stop testing? It can be overwhelming. Here are seven steps to help your team streamline their data testing efforts and know what to test, how much to test, and when to stop testing. |
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