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 software testing, Agentic AI changes how testing is handled across applications. Instead of relying solely on fixed scripts and manual effort, teams can use intelligent agents that understand ...

In software testing, keeping the user interface consistent and error-free requires regular checks after every update. Teams often compare screenshots or use basic visual regression testing tools to ...

Companies investing in generative AI find that testing and quality assurance are two of the most critical areas for improvement. Here are four strategies for testing LLMs embedded in generative AI ...

While thorough testing and quality assurance checks have always been important steps in the software release and updating processes, they’re taking on a new and higher significance in an ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

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 ...

For businesses seeking to deploy AI models in their operations — either for employees or customers to use — one of the most critical questions isn't even what model or what to use it for, but when ...

Recently, I had a conversation with Paul Gerrard, the internationally renowned, award-winning software engineering consultant, author, and coach. We discussed the fact that testing is at the heart of ...

The National Institute of Standards and Technology (NIST), the U.S. Commerce Department agency that develops and tests tech for the U.S. government, companies and the broader public, has re-released a ...