Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment ...

Last fall at the Association of the United States Army’s annual conference, PEO EIS Program Executive Officer Ross Guckert said one of the key pillars in his acquisition organization’s Agile journey ...

AI-generated test cases have significantly accelerated software testing workflows, but refining outputs often requires manual edits or restarting the generation process. TestMu AI’s latest release ...

Software testing is an essential component in ensuring the reliability and efficiency of modern software systems. In recent years, evolutionary algorithms have emerged as a robust framework for ...

Almost like wikipedia/version control. As software evolves, functionality may change so the ability to note what has changed and what version of the software that took place. * Quickly add edge case ...

When evaluating AI for testing, prioritize approaches that keep teams in control and maintain end-to-end testing connectivity ...

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

The approach toward software testing has drastically changed over the years. It has changed from manual testing to automation frameworks and now to AI-based testing. It isn’t just about increasing ...

Just a few short weeks ago, Google debuted its Gemini 3 model, claiming it scored a leadership position in multiple AI benchmarks. But the challenge with vendor-provided benchmarks is that they are ...