NI LabVIEW+ Suite introduces code completion and other powerful capabilities to redefine test development productivity and ...

Vanderlande opens its India Innovation Centre in Pune to drive robotics, AI and automation, strengthening its role as a ...

Modern software teams are expected to ship faster every quarter. At the same time, the systems they ship become more complex, ...

The future of technology lies in the fusion of both professionals who can develop software that runs efficiently in the cloud will remain in highest demand across sectors.

Software quality often slips not because of major flaws, but because of small cracks in the software development lifecycle ...

Abstract: Integrating Artificial Intelligence (AI) into the Software Development Life Cycle (SDLC) has become necessary to enhance efficiency, scalability, and performance in modern software systems.

Artificial intelligence continues to reshape the digital landscape, and as we move into 2026, the pace of change is accelerating. Businesses across industries are leaning more heavily on AI software ...

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 ...

It feels like everywhere you look these days, AI is popping up, and software testing is no different. We’re seeing a big shift where artificial intelligence isn’t just a buzzword anymore; it’s ...

“Shift-Everywhere” isn’t another buzzword — it’s an evolved mindset for how testing fits into continuous, distributed, and AI-driven systems. It’s the acknowledgment that quality can’t exist in one ...

In industrial engineering, digital twins—computer models of systems or processes—let scientists try out ideas before finalizing designs. In addition, on the factory floor, twins can model processes in ...