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 ...

The complexity of software architecture and diverse user interactions presents challenges to conventional testing approaches. Traditional test automation and quality assurance engineering represented ...

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 ...

When evaluating AI for testing, prioritize approaches that keep teams in control and maintain end-to-end testing connectivity ...

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 ...

As enterprises rethink their testing strategies, many teams are reviewing AI test automation tools that can help modernize QA workflows while keeping up with aggressive release schedules. These tools ...

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 ...

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 ...

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 ...

Choosing the right test management tool directly impacts your team's ability to ship quality software fast. QA teams today juggle manual tests, automated suites, scattered documentation, and ...