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

Understand why test data management is a more complex and impactful challenge than test automation itself, and how to address ...

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 ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

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 ...