Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...

When developers and engineers measure code coverage in embedded systems they can improve their device’s safety and performance. Embedded systems play a foundational ...

John Phillips, vice president of the public sector business at Tricentis, said government agencies looking to improve the security and efficiency of software development should adopt an automated, ...

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 ...

Code Snooper, a code coverage software tool for use with the Active-HDL design and verification environment is integrated with the Active-HDL simulation kernel and does not require additional ...

Comprehensive quality engineering and testing are a must for today's software-driven organizations. Perhaps not surprisingly, generative artificial intelligence (Gen AI) is emerging as a cutting-edge ...

In this special guest feature, Erik Fogg, Chief Operating Officer at ProdPerfect, covers some of the main benefits of adding AI to the software testing process, and why you should consider adding it ...

GitHub Copilot testing for .NET in Visual Studio 2026 v18.3 can generate tests for the xUnit, NUnit, and MSTest test frameworks.

In today's market, businesses need to move quickly, deliver seamless digital experiences and build trust with users. In the face of these demands, software testing has evolved from a necessary process ...