The software testing landscape is undergoing a seismic shift. For years, continuous automation testing (CAT) platforms have been the gold standard for reducing manual testing and ensuring ...

As AI tools now handle 67% of automated test generation, the role of the manual QA tester has not disappeared but evolved ...

Test automation has always been about speed. We measured success by how many tests we ran per minute and celebrated shorter regression cycles. However, we now stand at the edge of the next evolution.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Locator failures often lead to broken and flaky automation scripts, resulting in frequent test breaks, increased maintenance costs, and delays in development cycles. With Smart Heal, LambdaTest ...

Agentic AI is a software system that interacts with data and tools with minimal human input. It uses a goal-oriented approach, breaking tasks into steps and completing them on its own. In software ...

Developing an LLM testing strategy is challenging because the model’s inputs are open-ended and responses are non-deterministic. AI agents couple language models with the ability to take ...

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 ...