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

Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment patterns that correlate with incidents. Machine learning algorithms can ...

Evolve from executor to orchestrator by integrating AI and holistic product insights to accelerate quality in high-stakes engineering environments.

Transition from reactive quality assurance to proactive quality engineering by embedding shared responsibility throughout the ...

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 ...

Insights from TestRail's 2025 Software Testing & Quality Report highlight emerging trends in AI adoption, QA priorities, and testing strategies across global teams. Industry-wide survey of QA ...

Software quality assurance engineers and testers oversee the quality of a piece of software's development over its entire life cycle. Software quality assurance engineers and testers have an eye for ...

WATERLOO, ON, Nov. 13, 2025 /PRNewswire/ -- OpenText™ (NASDAQ/TSX: OTEX), a global leader in secure information management for AI in collaboration with Capgemini, an AI-powered global business and ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...