Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment ...

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

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

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 ...

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 ...

As enterprises rethink their testing strategies, many teams are reviewing AI test automation tools that can help modernize QA workflows while keeping up with aggressive release schedules. These tools ...

When Gopinath Kathiresan started his career in software quality engineering, automation wasn’t the industry standard—it was an afterthought. Testing happened manually and it was very slow and in fact, ...

We looked globally for a partner that understood 'Quality' not just as testing, but as a culture.”— Gowri Shankar ...