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

With the faster rate of software development today, AI in testing is transforming the organizational approach to software Quality Assurance (QA). Organizations are implementing Artificial Intelligence ...

Generative AI automation targets coding, debugging, documentation, and testing workflows in SDLC processes SAN JOSE, ...

Major industries such as electric vehicles (EVs), Internet of Things (IoT), aeronautics, and railways have strict, well-established processes to ensure they can maintain high safety standards ...

In 2020, it was projected that U.S. companies lost over $2 trillion due to poor-quality software. These costs came from unsuccessful projects, legacy software and operational failures, adding to a ...

Mutation testing is a fault-based software validation technique that involves introducing small, systematic changes (or “mutants”) into programme code to assess the capability of test suites in ...

Continuous experimentation in software development is an approach that integrates the systematic evaluation of new features and service enhancements directly within live environments. By iteratively ...

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 ...