How AI Helps in Reducing Flaky Tests in Automation
Introduction Every tester knows the pain of flaky tests — tests that sometimes pass and sometimes fail even when nothing has changed in the code. These unreliable results waste time…
Introduction Every tester knows the pain of flaky tests — tests that sometimes pass and sometimes fail even when nothing has changed in the code. These unreliable results waste time…
In 2025, everyone in the software industry is talking about one big question — can AI replace manual testers? Many tools use AI to make testing faster, smarter, and more…
API testing is one of the most important parts of software testing. It helps check if applications communicate correctly. But with so many APIs and data formats, manual API testing…
Creating test data is one of the most time-consuming tasks in software testing. Testers often need hundreds or even thousands of data sets to check how an application behaves in…
Software testing is the process of making sure that an application works correctly, identifies bugs, and gives a good user experience. For beginners, it can feel overwhelming: you have to…
Writing test cases manually can take a lot of time and effort. But now, Natural Language Processing (NLP) — a branch of Artificial Intelligence — is changing how testers write…
Have you ever wished your testing tool could warn you about bugs before you even start testing? That’s what AI-powered defect prediction aims to do. By learning from past test…
Generative AI in test case creation is one of the biggest changes in modern software testing. Earlier, QA engineers had to manually write each test case, which took a lot…
In 2025, software changes faster than ever. Every update, button move, or code change can break automated tests. But with self-healing tests with AI, test automation has become more intelligent.…