Quality Engineering

AI-Powered Flaky Test Detection: Identifying and Eliminating Unstable Tests

Introduction Automated testing is a part of Agile, DevOps and CI/CD practices. However as test suites grow teams often encounter flaky tests. Tests that fail sometimes and then pass without any changes to the application or test code. Flaky tests create uncertainty in automation pipelines. A failure may indicate an application defect but it may […]

Quality Engineering

From automation to autonomy: The shift that will redefine QA

The change that will change how we do QA Testers have all been heading in the same direction, the use of artificial intelligence tools. We’re excited about the speed of releases, mostly covered, and manual work.The real question, though, is do artificial intelligence testing tools actually improve software quality or are they just a tool […]

Quality Engineering

Testing machine learning models: A QA guide to responsible and reliable AI

Introduction: AI and machine learning are becoming a part of our everyday lives, shaping everything from the way we get medical advice to how financial decisions are made. But unlike traditional software, these systems don’t just follow fixed rules, they learn, evolve, and change over time. And that makes testing them a whole new kind […]