AI is making it easier than ever to generate code, but harder to maintain quality, well-engineered software. So, does AI-generated code actually reduce the need for testing, or does it demand more ...

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 ...

NI CHESS enables flexible software-driven, lab-based RF validation to reduce costs and risks of field testing.

The U.K. AI Safety Institute, the U.K.’s recently established AI safety body, has released a toolset designed to “strengthen AI safety” by making it easier for industry, research organizations and ...

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 ...

A common misconception in automated software testing is that the document object model (DOM) is still the best way to interact with a web application. But this is less helpful when most front ends are ...

How the combination of AI and flexible, software-defined instrumentation is poised to revolutionize the test and measurement industry. How AI tools can significantly enhance the efficiency of data ...

The automotive industry is transitioning to software-defined vehicles, using modular architectures, AI-driven validation, and ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...