The software development ecosystem is a field of battle where time and money are your rivals. In this industry, testing serves as an important gatekeeper, ensuring software quality reaches clients.

The first is the convergence of software and data engineering disciplines. The second is the rise of generative AI, which is accelerating both technical and organizational change. The Convergence Of ...

Comprehensive quality engineering and testing are a must for today's software-driven organizations. Perhaps not surprisingly, generative artificial intelligence (Gen AI) is emerging as a cutting-edge ...

“I made this whole program in 5 minutes with just a few (Insert GenAI tool) prompts. Any developer not using AI tools to replace developers will find themselves out of a job in two years” – random AI ...

SaaS teams face a constant challenge: how do you test fast enough to match weekly or daily releases without letting quality ...

Traditional regression testing forces teams to run entire test suites even when code changes affect only a fraction of the system” — Shrish Ashtaputre, Senior Technical Director at Calsoft SAN JOSE, ...

Penetration testing is undergoing a structural shift. For years, automation meant running scanners faster or scripting repetitive tasks. Today, a new class of tools is emerging, agentic AI systems ...

Explore how intelligent software testing strengthens safety, boosts performance, and supports innovation from mobile apps to autonomous systems across transportation, healthcare, and infrastructure ...

As software systems grow more complex, ensuring their reliability through effective testing becomes essential. In response to the growing demand for test automation, Sooraj Ramachandran has created ...

Engineers leverage both device-specific and tool-level data to identify a process “sweet spot.” Tight, frequent tool-to-tool matching enables greater yield and fab flexibility. Machine learning helps ...