Risks of relying too heavily on AI for software development include bias in the data used to train models, cybersecurity ...

As the race for innovation continues, experts have flagged that how well an enterprise is able to leverage AI will be ke ...

For years, “shift left” has been the mantra for development teams: catch bugs early, test often, and fix fast. The logic is ...

Today, we delve into the insights of a pioneer in the field, Mahidhar Mullapudi, who has been at the forefront of seamlessly integrating software development, quality assurance (QA), and artificial ...

Stackhawk’s shift-left approach emphasizes testing for security vulnerabilities during development, rather than waiting until after the software is live.

In today’s digital age, Vikram Sai Prasad Karnam, a renowned technology expert and author, explores the transformative role ...

Perhaps not surprisingly, generative artificial intelligence (Gen AI) is emerging as a cutting-edge component of the quality and testing phase of the software development lifecycle.

Even when following highly focused, tried and true testing processes, there are for many software development engineers a nagging concern that a bug could have slipped through undetected. That’s ...

Granting developers access to Apple's core AI models could finally pull back the curtain on how the tech works, and shed ...

Early adopters have verified that Zentester’s automated verification really does help. According to Zencoder, teams with ...