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

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 ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Are you grappling with managing your test data in an automation framework? Here’s a fact: effective Test Data Management (TDM) can significantly improve your software testing process. This ...

The approach toward software testing has drastically changed over the years. It has changed from manual testing to automation frameworks and now to AI-based testing. It isn’t just about increasing ...

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 ...

As enterprises rethink their testing strategies, many teams are reviewing AI test automation tools that can help modernize QA ...

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

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...