Compares implementation evidence against acceptance criteria and shows what is met, partial, missing, or untestable. Use when checking feature readiness, preparing QA sign-off, or turning criteria into a concrete verification matrix without inventing missing behavior.
日本語の概要は準備中です。原文の説明を表示しています。
Verifies that the lines and branches a change actually touched are executed by tests, using LCOV or Cobertura diff coverage instead of whole-repo percentages, and escalates uncovered high-risk changes into a blocking finding. Use when a pull request needs a coverage gate that unrelated tests cannot satisfy, when total coverage looks healthy but the diff is untested, when wiring diff coverage into CI, or when someone claims a change is covered because the suite is green.
日本語の概要は準備中です。原文の説明を表示しています。
Turns point-in-time quality readings into a trend: archives each run, diffs against the previous one, and reports direction per metric - practices newly present or regressed, coverage movement, flake rate, waivers expiring, eval scores - using limit/current/goal framing. Use when quality reporting is a series of disconnected snapshots, when a team needs to show improvement over a quarter, when a number is quoted with no baseline, or when a regression in the quality system itself should be visible.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes diffs, changed files, hotfixes, and release candidates to identify where regression risk spreads and what must be retested first. Use when scoping retest after a change, reviewing QA impact for a pull request, or building a minimal confidence suite for release validation.
日本語の概要は準備中です。原文の説明を表示しています。