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Don’t Let Too Little Planning Tank Your Agile Adoption Many organizations turning to agile believe it means you don't have to do any planning. This couldn't be further from the truth. A healthy agile team does just as much (if not more) planning than a team using a waterfall methodology. Preparing and setting goals sets up the team for a more successful agile adoption. |
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Avoiding Continuous Bugs: Speed and Quality in DevOps Lots of DevOps initiatives focus on speed and frequency of deployment without an emphasis on quality. Bad testing practices in DevOps only deploys buggy software faster. Here are some tips to move toward a more effective testing process that supports a continuous delivery approach—without sacrificing quality. |
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Can Remote Workers Ever Really Make Effective Agile Teams? As the Agile Manifesto states, agile teams should value individuals and interactions, and traditionally, this implies being in the same room. While technology makes collaboration at a distance more viable, some feel that collocation helps with delivering quickly. Can remote workers ever make effective agile teams? |
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Continuous Integration Makes Testers Look Like Developers There have always been distinct lines that separate developers and testers—and they didn’t often work all that close together. However, shifting everything to the left and being more concerned with testing at every single stage of development has blurred the line between their responsibilities. |
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Data-Driven Testing Skills in an Agile and DevOps World For agile and DevOps, an understanding of the role of data analysis in the test strategy is helping teams accelerate development, testing, and deployments. As we continue to enhance our testing effectiveness, data analytics skills are an important dimension in managing risks in a “continuous everything” world. |
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Google and Microsoft Expand Artificial Intelligence Research Artificial intelligence (AI) is getting smarter, but there’s still a lot to learn about this growing field. To that end, several tech giants recently announced programs to help take AI and machine learning from the nascent stage of development to solving sophisticated challenges across virtually every industry. |
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Why Automation Scares Many Traditional Testers Throughout the years, manual testing was just how things were done within standard software teams. Now, with advances in technology, the introduction and spread of agile, and the greater demand for speed, automation tools are almost required to keep up in this fast-paced industry. |
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Software Testing and Monitoring in DevOps There are a lot of hidden assumptions behind monitoring for modern software development methods such as DevOps. Some think software testing is avoidable and discovering problems in production and fixing them later is okay. But monitoring isn't meant to replace skilled testing. For the best quality, use both together. |
