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Why Your Test Efforts Should Tackle Data First Automation projects often start by tackling the technical issues, but Linda Hayes says a specific data environment should be established first. If you can’t control, define, and predict your data, you won’t have the repeatability that makes test automation practical—but it makes sense for manual testing, too. |
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The Internet of Things Moves Software Testing into the Physical World The explosion of the Internet of Things means the physical world of things we use and the logical world of software testing are blending. Software testers need to become familiar with hardware, and manufacturing companies have to consider software, maybe for the first time. Everyone has new skills to learn. |
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Creating a Test Strategy and Design for Testing Data These days, data comes from multiple sources, is transformed in many different ways, and is consumed by hundreds of other systems, so we must validate more data, more quickly. Mike Sowers shares his work in progress checklist for things to consider when developing a test strategy and design approach for data. |
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Improving Test Automation—What About Existing Tests? A good test design is important because it improves the quality of the tests, helping to add breadth and depth, and it facilitates efficiency, in particular for automation. These points are obvious when starting a project from scratch, but what do you do when tackling a project with existing tests? |
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How DevOps Is Making Testers Evolve As the streamlined DevOps movement catches on, more and more companies are abandoning “traditional testers” and getting software developers to test. Testers are not becoming obsolete—but it means testers have to evolve and start ensuring that quality is baked in. Adam Auerbach details how they need to change. |
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Calculating the Cost of Failure What is the cost to your business of an outage due to a major bug? Usually it's calculated as mean time between failures multiplied by mean time to recovery. But what if you could deploy to a limited number of users and monitor effects? Then the equation includes a third variable: number of users impacted. |
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Designing Data-Driven Tests with Keywords for Automation Success When automated tests are well-organized and written with the necessary detail, they can be very efficient and maintainable. But designing automated tests that deal with data can be particularly challenging. Tests need certain base data to be available and in a predictable state when they run. |
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The Art of Designing Test Data In the software testing lifecycle, data is an extremely important aspect of planning and creating accurate test cases that suit user behavior. Designing test data is critical to accurately measuring a project's effectiveness in every instance, and it takes a significant amount of strategy to execute. |
