Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...

Generative AI automation targets coding, debugging, documentation, and testing workflows in SDLC processes SAN JOSE, ...

New platform helps non-technical founders and teams implement AI inside real business workflows without hiring ...

The cost of not upping software quality assurance will be evident not only in the marketplace but on a company’s bottom line and in the lives of people.

On Friday, Anthropic unveiled Claude Code Security, a new AI‑driven tool designed to autonomously hunt down software ...

SmartBear has launched Reflect Mobile, an AI-powered, no-code, test automation tool kit that enables QA professionals to test native apps across the iOS and Android mobile platforms. Announced June 11 ...

Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

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 ...

AI is becoming a strategic differentiator in industrial automation; those who learn to apply it effectively will shape the next generation of industrial projects.

Skymantics will participate in two pivotal sessions on Monday, March 2, addressing both the strategic and technical realities of National Airspace System (NAS) modernization: ...