As QA continues to evolve, testers must step into roles that are more collaborative, analytical and leadership-driven.

Large Language Models (LLMs) are quickly transforming the domain of Artificial Intelligence (AI), driving innovations from ...

AI-native testing is a fundamental reimagination of quality assurance (QA) at scale. Most testing strategies collapse under ...

Using a newly developed verification framework, researchers have uncovered safety limitations in open-source self-driving ...

NLP brings transparency and clarity to the testing process. Because test cases are written in business-readable language, managers can better understand how quality efforts align with requirements, ...

His seminal 2022 research paper, “Self-Healing Test Automation Frameworks Using Reinforcement Learning for Full-Stack Test Automation”, published in the Journal of Artificial Intelligence ...

With faster release cycles becoming the norm, manual testing can't keep pace—it's too slow and prone to errors. This shift necessitates innovative automation frameworks capable of delivering ...

Automated Test Equipment (ATE ... Alongside System-Level Testing (SLT), ATE offers a comprehensive testing framework that supports the mass production of chips, ensuring high quality and performance ...

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 ...

Identifying the suitable test cases for automation is the most imperative step towards automation. 9. Define framework? A framework is a set of the construction of the complete automation suite. It is ...