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 ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

The reliability of Automated Valuation Models (AVMs) has been thrust into the spotlight in recent weeks, following groundbreaking changes in the way these models are now being tested. The implications ...

1 School of Software (School of Computer), University of South China, Hengyang, China. 2 School of Mechanical Engineering, University of South China, Hengyang, China. 3 University of South China, ...

Southwest Research Institute (SwRI) has expanded and advanced a ballistic resistance testing technique, the Laser-Induced Particle Impact Test (LIPIT), previously limited to using microscopic ...

Amazon Web Services has introduced a new artificial intelligence-powered approach that redefines how software is built, placing AI at the heart of the development lifecycle. Launched at the AWS ...

The System Under Test, or SUT, is quite simply the specific piece of software, or the particular part of a larger system, that we are currently focusing our testing efforts on. It is the bit that's ...

Abstract: Metamorphic testing (MT) is an established software testing methodology suitable for testing various types of systems under test (SUTs), but identifying and implementing metamorphic ...

Nvidia presented a forward-looking paper titled “Optimizing Verification Efficiency with Verisium SimAI for Enhanced Bug Detection.” This study delves into the transformative capabilities of Xcelium ...

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 ...