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 ...

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

Talk to any industry insider, and they’ll tell you that the landscape of software testing is undergoing a paradigm shift that’s rendering many existing practices inadequate. The pace of software ...

The majority of software development teams believe they don’t test well. They understand that the effect of quality defects is substantial, and they invest heavily in quality assurance, but they still ...

Everywhere you turn, someone is talking about AI — AI this, AI that. No wonder some people roll their eyes at the mention of artificial intelligence. For some, it’s all smoke and mirrors, just a ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

iOCO has launched one of the first locally developed ISTQB-aligned AI testing e-learning courses in South Africa, to upskill quality assurance testers on the latest best practices in AI systems ...

As the founder and CEO of an automated software testing company, I’ve been following the trends in this space closely, and it's exciting to see that the automation testing market is estimated to more ...

Test-Driven Development (TDD) represents an iterative software development strategy in which developers author automated tests before writing the corresponding production code. This methodology is ...