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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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Stop Hoarding Bugs and Clean Up Your Backlog Many testing organizations have bugs sitting in their bug-tracking tool gathering dust. The issues aren't high-priority enough to fix immediately, but no one wants to close them because they might get around to fixing them eventually. This is a hoarder mentality! You need to organize and declutter your bug backlog. |
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How Testers Can Use Docker to Shift Left and Automate Deployments Docker has several advantages over virtual machines: It’s easier to deal with, starts up faster, and requires fewer resources. Using Docker also can give testers more confidence in their releases. Developers use the same environment that will be used in production, which streamlines code delivery and shifts QA left. |
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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. |
