Rail simulation software lets teams test what-if scenarios in a duplicate workbank, compare outcomes and sync changes back.

The rise of artificial intelligence (AI) in quality assurance (QA) has led to a huge shift in the industry. It’s common for people to think about AI as a force that does the work of people, only in a ...

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

In a recent article about upgrading continuous testing for generative AI, I asked how code generation tools, copilots, and other generative AI capabilities would impact quality assurance (QA) and ...

AI is transforming the software landscape, with many organizations integrating AI-driven workflows directly into their applications or exposing their functionality to external, AI-powered processes.

Rafael Paura Vieira Fernandes discusses how large oil and gas transformations succeed by testing end-to-end business ...

The scenario-based AV testing platforms market is growing rapidly, driven by the rise in autonomous vehicle development, need ...