Test automation has been pivotal in accelerating software releases, but it came with a high learning curve that limited its reach. No-code testing platforms helped ease that by enabling teams to ...

The question is no longer whether gen AI and emerging technologies will elevate the automation of software testing but when and how. However, proponents need to overcome organizational resistance.

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 ...

Software teams are under increasing pressure to deliver new features while maintaining application reliability, security and performance. As products become more complex and development cycles shorten ...

Fast-paced business environments leave little room for error. The promise of real-time data, AI and automation -- evidenced by hyperscalers and other industry leaders ...

ACCELQ’s platform focuses on AI-powered test automation, including generative test creation, automated maintenance, and ...

In this Help Net Security interview, Marko Simeonov, CEO of Plainsea, discusses how organizations can move beyond compliance-driven penetration testing toward a more strategic, risk-based approach. He ...