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 ...

Test data management (TDM) is a crucial practice for ensuring compliant data and providing uniformity to test data. In the same way testing environments and data models are continuously evolving, test ...

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

Test-Driven Development (TDD) represents an iterative software development strategy in which developers author automated tests before writing the corresponding production code. This methodology is ...

Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.

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

Recently, I had a conversation with Paul Gerrard, the internationally renowned, award-winning software engineering consultant, author, and coach. We discussed the fact that testing is at the heart of ...

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 ...