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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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5 Tips for Mentoring Future Mentors Being a mentor is a big responsibility. It becomes a greater one when the person you're mentoring is set to become a mentor to someone else. What advice would you impart to your mentee? What do you wish you'd thought of when you were starting out as a mentor? Payson Hall distilled his experience into five principles. |
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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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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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How to Prioritize Tasks and Do Only the Work That Matters When you’re working on multiple projects at a time and everyone is breathing down your neck for results, it’s difficult to separate wants from needs. You have to be smart about task prioritization. Here are four ways to break through the noise and make sure you’re focusing on the work that really matters. |
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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. |
