One of the most exciting areas in quality assurance (QA) at the moment is the potential impact of machine learning and artificial intelligence. We’re starting to ask the question, what if software ...

Under the cloud of sequestration, IT contractors face the challenge of delivering large, highly complex software systems for the government and its agencies with increasingly limited resources. We are ...

The approach toward software testing has drastically changed over the years. It has changed from manual testing to automation frameworks and now to AI-based testing. It isn’t just about increasing ...

In an era where software must be fast, flawless, and secure, testing is no longer a supporting function; it is at the ...

If you've ever spent hours debugging a test that shouldn't have failed—only to find out it broke because of one tiny UI change—you're not alone. And Gopinath Kathiresan knows that frustration well.

We believe our recognition as a Challenger in the 2025 Gartner Magic Quadrant for AI-Augmented Software Testing Tools reinforces our commitment to redefining how teams approach quality engineering by ...

Fuzz testing, commonly known as fuzzing, is an automated software testing strategy that involves providing invalid, unexpected, or random data as inputs to computer programmes. Its primary aim is to ...