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

Even the most well-funded and innovative development teams run into software challenges. Just look at the recent unforeseen software glitch that delayed a long-awaited test flight and temporarily kept ...

Best Practices for Automated App Testing Fortunately for app-wielding federal agencies, effective software testing solutions are available to replace manual, labor-intensive app testing with automated ...

As artificial intelligence, automation and machine learning rapidly transform software development, one question rises to the top for quality assurance professionals: What role will human testers play ...

When evaluating AI for testing, prioritize approaches that keep teams in control and maintain end-to-end testing connectivity.

The approach toward software testing has drastically changed over the years. It has changed from manual testing to automation frameworks and now to AI-based testing. It isn’t just about increasing ...

Qase, an Austin-based platform for managing software quality assurance testing and reporting, today announced that it raised $7.2 million in a Series A round led by Chrome Capital with participation ...

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 ...

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Fuzz testing, commonly known as fuzzing, is an automated software testing strategy that involves providing invalid, unexpected, or random data as inputs to computer programmes. Its primary aim is to ...