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

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

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

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

AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.

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 ...

Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.

The idea of unit testing has been around for many years. "Test early, test often" is a mantra that concerns unit testing as well. However, in practice, not many software projects have the luxury of ...

The software testing landscape is undergoing a seismic shift. For years, continuous automation testing (CAT) platforms have been the gold standard for reducing manual testing and ensuring ...

In today's market, businesses need to move quickly, deliver seamless digital experiences and build trust with users. In the face of these demands, software testing has evolved from a necessary process ...

Choosing the right test management tool directly impacts your team's ability to ship quality software fast. QA teams today juggle manual tests, automated suites, scattered documentation, and ...