Process
Articles
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Uplifting QA Teams Through Metrics As software products and services are becoming more complex, it requires more comprehensive testing for identifying the defects and pursuing the necessary fixes before it becomes available for public release. The QA process needs to be planned out and monitored so that it can be successful. The most effective way to track the efficacy of QA activities is to use well-thought-through metrics. |
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The Growing Role of AI in DevOps All around us, we are seeing a growing trend of artificial intelligence (AI) being implemented in every aspect of our lives—from self-driving cars to intelligent chatbots. But what about the world of DevOps? Has AI come to play a role here as well? The growing role of AI in DevOps has unearthed some key benefits it can bring to many DevOps workflows. |
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Continuous Testing with Self-Healing: Why Is It Important? Adopting a machine learning-driven self-healing technique in test automation can prevent flaky tests, reduce test failures, and save time on code maintenance. Self-healing is one of the essential factors for successfully performing continuous testing in the DevOps model. |
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How to Make 100 Releases Per Day with Only 6 Quality Engineers Evgeny Tkachenko outlines how, at Wayfair, they are able to release code to production hundreds of times per day, with only six Quality Engineers. |