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 ...

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

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

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

TestSprite Inc., a platform that offers end-to-end software testing using fully autonomous artificial intelligence, today announced early access to its platform today. The company’s platform provides ...

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 ...

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 ...

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 ...

SANTA ROSA, Calif.--(BUSINESS WIRE)--Keysight Technologies, Inc. (NYSE: KEYS), a leading technology company that delivers advanced design and validation solutions to help accelerate innovation to ...

BrowserStack today released its State of AI in Software Testing 2026 report, showing how AI has become central to modern ...