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Testing Centers of Excellence and the Return of Silos Testing centers of excellence aim to be R&D labs for software testing, experimenting, and innovating new testing techniques and then piloting them on projects and analyzing the results. But that's not always the reality. Some CoEs merely isolate testers, taking a step back to the days of silos. What's your experience? |
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The Testing Practices and Metrics That Really Matter in Agile and DevOps Scaled agile and DevOps change the game for software testing. It’s not just a matter of accelerating testing; it’s also about fundamentally altering the way we measure quality. The test outcomes required to drive a fully automated release pipeline are dramatically different from the ones most teams measure today. |
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Lessons Learned in Testing a UI Test Automation Tool How do you test a tool to be used for automated testing? If a tool executes an automated test that generates keyboard and mouse events to replay user actions, can the test emulate user input and control another instance of the tool to automatically record and play another test? Here's how you test the test tool. |
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Yes, She Can STEM—and More Many girls begin losing interest in STEM subjects as early as middle school, and this path continues. #SheCanSTEM is a new public service media campaign that hopes to encourage middle school girls to ultimately pursue STEM careers by challenging stereotypes and showcasing female STEM role models. |
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An Exploration of Exploratory Testing Exploratory testing is one of the most widely known but poorly understood practices in the software testing community. The term suggests that exploratory testing is a special testing activity, but in reality, all true testing is exploratory in nature. Let's rediscover what exploratory testing should—and shouldn't—mean. |
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Looking beyond the Tester-to-Developer Ratio Many companies have some notion of an ideal tester-to-developer ratio, or the number of testers they need for every certain number of developers. It may seem like a superficial standard, but it's rooted in a very real need to understand staffing requirements and budgets. Let's dig deeper into the team balance. |
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AI R&D: DARPA Investing $2 Billion in Contextual Reasoning In the view of the Pentagon’s Defense Advanced Research Projects Agency (DARPA), a government agency that has contributed heavily to AI research in the past, AI’s programmed ability to process information is still much too limited. What AI needs is contextual reasoning capabilities. |
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Real-Time Bird Migration Algorithms for Live Tweeting New maps on the Cornell Lab of Ornithology’s BirdCast website let you track migratory birds in near real time, as well as forecast avian migration up to three days ahead. Pamela Rentz looks at why the when, where, and how far birds will migrate is important. |
