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 ...

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

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

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 ...

Although Media Messaging (MMS) has been available for some time on cellular networks, the success rate in message delivery has been variable, especially when messages are sent between networks.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Prevent AI-generated tech debt with Skeleton ...

When internet services platform Cloudflare suffered an outage in November, it took a big chunk of the online world down with it. Major platforms like ChatGPT, X, and Canva became unreachable. So did ...

When outlining the key considerations for companies looking at autonomous testing platforms, Forrester noted that the next frontier transforming how testing is executed is agentic testing, with ...

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

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

Software teams sometimes ship multiple releases in a single day. But speed alone doesn’t guarantee success. What truly separates high-performing DevOps teams from the rest is how well they manage ...