When developing software, we often think about the various features it will provide and how it will improve users’ efficiency. We seldom want to think about what hidden bugs the software might contain ...

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 ...

In today’s tech-driven world, companies race to bring new software features to market, and customers expect updates at an almost instantaneous pace. But behind every slick interface and smooth user ...

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.

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 ...

Oracle Corp. today previewed the Oracle Code Assist, a new artificial intelligence productivity tool for software teams. The offering is powered by large language models deployed on OCI, the company’s ...

Fault localisation, an essential component of modern software engineering, seeks to identify and isolate faulty portions of code, thereby expediting the debugging process and improving overall system ...

Today’s best software testing courses offer hands-on experience with unit testing, static analysis, automating functional tests and more. Software testing is crucial for businesses with any kind of ...

In an era where software must be fast, flawless, and secure, testing is no longer a supporting function; it is at the core of digital reliability. Few experts embody this shift better than ...

Harness Inc. said today it’s injecting artificial intelligence into every stage of the software delivery process, looking to automate every step after the coding process, including testing, security, ...

Code generation and copilots are just the beginning of new AI-enabled ways to develop, test, deploy, and maintain software. Coding in the 1990s usually meant selecting an editor, checking code into ...