AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.

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 ...

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 ...

With the faster rate of software development today, AI in testing is transforming the organizational approach to software Quality Assurance (QA). Organizations are implementing Artificial Intelligence ...

Comprehensive quality engineering and testing are a must for today's software-driven organizations. Perhaps not surprisingly, generative artificial intelligence (Gen AI) is emerging as a cutting-edge ...

Ashwini Shivarudra is a highly skilled Software Quality Analyst with over 14 years of extensive experience in all phases of the Software Development Life Cycle (SDLC) and Software Testing Life Cycle ...

In today's market, businesses need to move quickly, deliver seamless digital experiences and build trust with users. In the face of these demands, software testing has evolved from a necessary process ...