False positives, signal quality, and noise reduction in scanning.
4 articlesA false negative in security scanning is a real vulnerability that a tool fails to detect — the most dangerous quality failure in security analysis, leading to undetected risk.
A false positive in static analysis is a finding that incorrectly identifies correct code as having a vulnerability or defect — a critical quality metric for any analysis tool.
Noise reduction in code review is the practice of eliminating irrelevant, low-value, or duplicate comments so engineers can focus on the findings that actually matter.
Signal-to-noise ratio in code analysis measures how many findings are actionable versus irrelevant — the most important quality metric for any analysis pipeline at scale.