Test observability transforms the traditional testing process and addresses real-time performance across complex systems.

Evaluate the pros and cons of low-code automation tools through a tester’s hands-on experience selecting a solution ...

At the heart of UFM lies a set of first principles, including an innovative and expanded ... Large-scale cosmological data from the Sloan Digital Sky Survey (SDSS) Empirical testing utilized ...

Learn how a focus on experimentation, craft and community enables team members to grow, connect — and drive progress.

By fusing artificial intelligence, privacy preserving automation, and Zero Trust principles, Jyotheeswara Reddy Gottam has ...

In my previous article “What Manufacturers Need to Know about Software-Defined Automation”, I discussed how Software-defined automation (SDA) is changing the nature of industrial automation, with a ...

Tech leaders who embrace AI-driven testing today won’t just improve software quality; they’ll redefine how businesses approach testing altogether. The shift from traditional QE to AI-powered ...

The Future of AI in Software Testing AI in testing isn’t just about keeping up with the latest buzzwords. It’s about making smart, future-proof choices that balance innovation with security, ...

For example, in low-voltage systems, using copper busbars will reduce power loss by around 25% compared to aluminum ones. Along with this, a digital software platform monitors and manages energy ...