HomeCategoryINTELLIGENT AUTOMATION | Continuous Testing

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Development practices of creating feature branches that’s based on a snapshot in time of code functionality introduces challenges for applications made up of a number of microservices today. With each microservice having its own source code repository in Git and Jenkins job, how would you know the right version of the relevant microservice to use when testing the quality of each build? Compounded by the proliferation and complexity of the thousands of builds already in...

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  Test Center of Excellence (CoE) face a dilemma today. Testing processes haven’t kept up with Agile and continuous software delivery trends. Instead of facilitating speed, testing has become a real bottleneck – forcing a tough tradeoff between speed and quality. Software test automation has never been more important. We recently discussed CA’s vision of a Center of Developer Excellence (CoDE), which addresses the current disconnect between continuous software delivery trends and testing practices. In today’s blog, we show you how...

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In-Sprint Test Automation Practices in Motion So, you’ve decided on adopting In-Sprint Test Automation practices. Now what? In a previous blog we saw the benefits of integrating test steps, automation and data into a singular model. We also saw how automated test scripts are created my integrating code snippets directly into a visual diagram. By creating a model at the beginning of a sprint cycle, testing can occur faster and earlier. But how does this work in...

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Why In-Sprint Testing Hits The Mark in Agile Legacy testing approaches (still) or having a go at “in-sprint testing” aside, in today’s world of software development, every tester, developer, and customer has at least one thing in common. They each carry a smartphone and a computer of some kind. As they go about their work, their phone sits quietly off to one side, apparently dormant until the next call or text message arrives. The computer...