Because the threshold for resilience testing is so high, it isn’t integrated into most companies’ software development ...

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 ...

AI-powered test automation is redefining software reliability by reducing flaky tests, expanding coverage, and accelerating ...

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 ...

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 ...

In today's market, businesses need to move quickly, deliver seamless digital experiences and build trust with users. In the face of these demands, software testing has evolved from a necessary process ...

Overview: Explains why generative AI needs a new approach to software testingLists top tools transforming QA automation and evaluationExamines how QA roles and ...

How the combination of AI and flexible, software-defined instrumentation is poised to revolutionize the test and measurement industry. How AI tools can significantly enhance the efficiency of data ...

CHICAGO & LONDON--(BUSINESS WIRE)--Fusion Risk Management, Inc. (“Fusion”), a leading provider of operational resilience, business continuity, and risk management software and services, today ...

Testing robocars is challenging. Because they aren’t human level intelligences able to solve problems with advanced reasoning and thought, you end up needing to throw everything that you can think of ...