A statistical method used in software testing to estimate the likelihood of defects remaining in code after testing. By analyzing historical data, code complexity, and test coverage, teams prioritize high-risk areas. Developers, QA engineers, and project managers benefit by allocating resources efficiently, reducing costly post-release failures, and improving software reliability.
Get alerts when this topic surges in newsletters. Free to start.
Sign up freeExplore more trends:Trending Topics ·AI Trends ·Business Trends ·Finance Trends ·Technology Trends