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Google’s Magic Metric Google has a "magic metric" that determines where effort should be spent, based on the fact that the number of hits on every site with one of its ads is directly correlated to revenue. Most companies do not have a magic metric, so they search for a way to measure process. How can you change the conversation? |
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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. |
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Promoting Sustainable Test Automation Truly sustainable test automation imparts minimal impact on people and processes over the years. It is achieved by deploying automation frameworks that shield testers and processes from the automation tools and technologies that are constantly evolving. Carl Nagle tells you how to attain long-term success. |
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Improving Product Quality throughout the Software Development Lifecycle Good, efficient communication is an important asset to the team. With focused, pure, and structured data on product quality, including all of the self-documenting steps of a given check, it’s clearly known what’s working and what the verifications are. Matt Griscom shows how you can get this level of clarity. |
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What's More Important: Mobile App Performance or User Experience? More and more, users are expecting increasingly responsive apps on day one, and if certain actions take just a single second longer than what they feel is justifiable, the app could be uninstalled before it’s ever really given a chance. But more complex apps might just be slower. Which is the priority? |
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How Performance Testing Stands Apart Performance testing is fundamentally different from other types of tests, especially functional testing. Performance testing does not utilize test cases as we typically see them. Dale Perry details how to create a successful performance test, including designing an operational profile and load-based tests. |
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Jelly Beans and Defect Classification: Different Strategies for Success When there’s a bowl of jelly beans, some people grab a few at random, but most of us have favorites. If you're crafty and have flexible standards, you can maximize consumption by adjusting your criteria as colors dwindle. Classifying defects should not be like choosing jelly beans; you need firm standards. |
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Handling a Check Failure in Test Automation What happens on your team when a check (what some call “automated test”) fails? Regression tests or checks that are effective toward managing quality risk must be capable of sending action items outside the test/QA team quickly. How do you provide fast, trustworthy quality communications from your team? |
