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Testing the Tester: Building a High-Impact QA Team Teams don’t always understand the impact their roles have on the business outcome, so their lack of focus can affect software quality and lead to an array of disasters. You can help your existing testers become a high-performing QA team focused on goals. Here’s what you can do to transform how your QA team functions. |
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3 Ways to Keep Your Test Suite Lean Test automation is useful, but as your tests grow, they require maintenance. Without curation, your test suite can turn messy and uncontrollable. Keeping a lean test suite will ensure your tests remain useful. You can whip your test suite into shape by focusing on always making your tests valuable, reliable, and fast. |
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Mob Programming: Working Well Together Mob programming is a whole-team approach to creating software where everyone works together on the same thing at the same computer. It's not a bunch of people watching one person write code, but rather everyone thinking, discussing, designing, and collaborating. Sound crazy? Here's how it improves the quality of code. |
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Automation for the People We tend to contrast automated and manual testing, but really, they should support each other. The key is to define what our testing objectives are, then build the solution needed to achieve them—probably a combination of manual and automated testing. We should not let the method become more important than the results. |
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America’s New Supercomputer Summit Is Built for AI and Advanced Research Built for artificial intelligence and high performance computing, the new supercomputer Summit will provide researchers and others with the incredible computing power to solve problems in human health, high-energy physics, climate science, advanced materials discovery, and other areas. |
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Analyzing the Software Team Generalist There's a recent trend in having generalists on the software team—there are no developers or testers, only "team members." The idea of the two roles learning from each other is a good one, but it's usually a one-way street: Testers learn to write production code or test tooling, but no one focuses on deep testing. |
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FDA Reviewing Guidelines for AI and Health Care Artificial intelligence is projected to revolutionize health care and make high-quality medical treatment more accessible and affordable. While 3D-printed donor organs may still be on the horizon, AI tools to detect strokes, diagnose diabetic retinopathy, and help identify wrist fractures are already here. |
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Questions to Ask during Test Selection for Automated Tests We use test design techniques to answer the questions “What do I need to test?” and “What tests should I perform?” We try to ensure test coverage during test automation too, except that choosing poorly creates slower builds and unreliable information about product quality. Here are some guidelines for test selection. |
