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Why Netflix Doesn’t Stick to Agile In the case of Netflix, how the company is structured and how they hire engineers makes the prospect of agile less appealing than you might imagine. The streaming service makes use of over a third of the bits on the Internet at peak, but shockingly, Netflix is against the idea of having process. |
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What Is Continuous Delivery Doing to Software Testing? Software teams using continuous delivery focus on building software in small pieces so that new code can be pushed to production multiple times a day instead of on a sprint cadence. There is also an explicit focus on code quality before production and monitoring afterward. Is this putting testing in danger? |
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Legacy Code Can Hinder Your Agile Transition Although there's a lot of practice evolution that happens with agile transitions, legacy code can still be a major obstacle to agile success. A few risks and considerations emerge when scaling agile while still managing legacy code barriers. |
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Which Test Metrics Are Useful in Agile Projects? Just as our measurement and metrics capabilities improve as our technology and knowledge evolve, we must also refine and adapt our software quality and testing measures as we embrace an agile culture. Our measurement and metrics strategy should shift to lower levels of the application or system under test. |
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The Challenges of Incorporating Robust Test Data Management We can no longer be myopic when it comes to testing, as there’s a wide group of needs to be addressed on any given project. For a project to succeed, testers must build out robust test data management capabilities in response to growing application demand. |
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What’s in the Fall 2016 Issue of Better Software Magazine? In the cover feature article of the fall 2016 issue of Better Software magazine, “The Evolution of Software Monetization,” Michael Zunke details how software vendors misfire in an attempt to balance protection of their intellectual property with complicated software licensing schemes that frustrate customers. |
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Why Process Standardization Is a Terrible Idea Having a standard process everyone uses makes sense in theory. You could compare metrics and progress across teams and projects. But it practice, it becomes like comparing apples and oranges. Teams aren't all the same, and neither are projects. Each team need its own optimized way to deliver value. |
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Artificial Intelligence’s Impact on the Future of Testing Agile has fundamentally changed the way we talk about testing. However, something that isn’t discussed as often, yet might be just as critical to the future direction of the industry, is artificial intelligence. In the world of testing, it’s easy to see how AI can be exceptionally useful. |