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 ...

TestRail 9.5 empowers intelligent collaboration between testers and AI, enabling 90% faster test case creation with enterprise-grade flexibility and security AUSTIN, Texas, September 11, ...

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 ...

Though many of us do it just about every day without giving it much thought, driving a vehicle is fairly complex. Many data parameters from both within and outside the vehicle must be constantly ...

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, ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

However, inventory mistakes silently pile up. Any delay in synchronizing warehouse software with your commerce platform can lead to overselling. An ERP or order management data mapping problem may ...

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 ...

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