Test Impact Analysis. Smarten up your pipeline and reduce t
summary
Explains how to move from a single code-coverage percentage to line-level, risk-driven Test Impact Analysis for a large codebase (over a million LOC). Describes combining coverage data (unit, API, webdriver, system tests) with probability×impact risk assessment to prioritize which uncovered lines matter most when deciding if a major refactor is safe.
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