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

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 ...

BrowserStack today released its State of AI in Software Testing 2026 report, showing how AI has become central to modern testing, while highlighting the practical gaps that slow adoption. Based on ...

In the next few years, software testing — a critical but traditionally manual phase of development — is poised for a ...

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 ...

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 ...

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

Quality assurance teams across modern software development face a new reality. AI enabled applications do not behave like traditional systems. Outputs shift based on context....Read More The post ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...