Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

Modern software teams are expected to ship faster every quarter. At the same time, the systems they ship become more complex, ...

Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...

Quality assurance (QA) testing is the process that ensures a premium quality product for customers. QA is merely the strategy used to avoid any software product or service problems and to make sure ...

Regression testing for an ERP application at multiple phases during the implementation process helps avoid problems like unexpected software failure after going live ...