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Code Katas for Testers A kata is a small programming task you build a solution to. The point is to develop programming skill through familiarity with programming patterns, which is a useful practice for testers today. You’ll learn about software development, testing, continuous integration, exploration—and even how to be a better person. |
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Why the Minimum Viable Product Matters The MVP brings tremendous value to a team’s ability to effectively implement agile practices. It also allows us to better understand what “value” actually means to our users and how context changes the meaning. Your MVP must move through your validation and release cycles while still being valuable to your users. |
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NIST Launches Group to Bring Quantum Computing Closer to Reality The buzz around quantum computers has been around for a while, but many feel that for long-term success, a road map is required. A new consortium focused on quantum information science and engineering will be led by the US Department of Commerce’s National Institute of Standards and Technology (NIST). |
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Serious Gaming: Building Better Communities Playing Minecraft Who says playing video games is a waste of time? Surely not the adults and kids around the world who are “playing” Minecraft and building 3D models of safer and more livable public spaces and communities in collaboration with Block by Block and UN-Habitat. |
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Learn Agile Principles Indirectly through Practice One of the primary questions for agile teams adopting a new approach such as Scrum is whether to start with principles or practices. Sometimes the best way to learn principles is indirectly, through practice. Experiences are a great way to learn, and sometimes they even teach you skills without your realizing it. |
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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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Predictive Analytics to Give Quality Engineering a Facelift Test automation is only as smart as we design it to be, but automation combined with artificial intelligence and machine learning is what can enable predictive analytics to produce smart outcomes—and that is the facelift quality engineering will soon receive. |
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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. |
