{"query":"Coverage Engineering","corpusVersion":"local","generatedAt":"2026-09-13T04:31:21.744Z","results":[{"blockId":"coverage.overview#coverage-engineering","pageId":"coverage.overview","title":"Coverage Engineering","pageTitle":"Coverage Engineering","url":"https://teammately.ai/docs/coverage-engineering.md","humanUrl":"https://teammately.ai/docs/coverage-engineering#coverage-engineering","markdownUrl":"https://teammately.ai/docs/coverage-engineering.md","sectionId":"coverage-engineering","kind":"concept","productArea":"coverage_engineering","score":1063.677166618652,"reasons":["search_match","title_match","display_title_match","term_match"],"markdown":"# Coverage Engineering\n\nCoverage Engineering is the capability for designing what a specialist AI benchmark must represent. It turns requirements, project knowledge, existing cases, and observed failures into a structured coverage map that guides dataset selection, case construction, expert contributions, and evaluation interpretation."},{"blockId":"coverage.overview#coverage-map-and-benchmark-evidence","pageId":"coverage.overview","title":"Coverage map and benchmark evidence","pageTitle":"Coverage Engineering","url":"https://teammately.ai/docs/coverage-engineering.md","humanUrl":"https://teammately.ai/docs/coverage-engineering#coverage-map-and-benchmark-evidence","markdownUrl":"https://teammately.ai/docs/coverage-engineering.md","sectionId":"coverage-map-and-benchmark-evidence","kind":"concept","productArea":"coverage_engineering","score":521.58257237231,"reasons":["search_match","page_title_match","term_match"],"markdown":"## Coverage map and benchmark evidence\n\nA coverage map should identify meaningful combinations rather than isolated tags. A source-freshness Dimension may be well populated overall while the combination of superseded source, high customer impact, and exception request remains absent. Coverage Stories make those combinations operational; Case Foundry and expert contribution requests can then target them.\n\nRepresentation is evidence about the dataset, not proof that the benchmark is complete. A large or balanced count can still omit a critical boundary. Product teams should use specialist judgment to decide which gaps materially affect trust."},{"blockId":"coverage.coverage-gaps#coverage-gaps","pageId":"coverage.coverage-gaps","title":"Coverage Gaps","pageTitle":"Coverage Gaps","url":"https://teammately.ai/docs/coverage-engineering/coverage-gaps.md","humanUrl":"https://teammately.ai/docs/coverage-engineering/coverage-gaps#coverage-gaps","markdownUrl":"https://teammately.ai/docs/coverage-engineering/coverage-gaps.md","sectionId":"coverage-gaps","kind":"task","productArea":"coverage_engineering","score":413.4705469227261,"reasons":["search_match","term_match"],"markdown":"# Coverage Gaps"},{"blockId":"coverage.plan-benchmark-coverage#plan-benchmark-coverage","pageId":"coverage.plan-benchmark-coverage","title":"Plan Benchmark Coverage","pageTitle":"Plan Benchmark Coverage","url":"https://teammately.ai/docs/coverage-engineering/plan-benchmark-coverage.md","humanUrl":"https://teammately.ai/docs/coverage-engineering/plan-benchmark-coverage#plan-benchmark-coverage","markdownUrl":"https://teammately.ai/docs/coverage-engineering/plan-benchmark-coverage.md","sectionId":"plan-benchmark-coverage","kind":"task","productArea":"coverage_engineering","score":396.77672253448264,"reasons":["search_match","term_match"],"markdown":"# Plan Benchmark Coverage\n\nPlan coverage by applying reusable project facets to one benchmark and comparing the intended behavior space with the selected dataset representation."},{"blockId":"coverage.coverage-gaps#task-steps-coverage-gaps","pageId":"coverage.coverage-gaps","title":"Task steps: Coverage Gaps","pageTitle":"Coverage Gaps","url":"https://teammately.ai/docs/coverage-engineering/coverage-gaps.md","humanUrl":"https://teammately.ai/docs/coverage-engineering/coverage-gaps#task-steps-coverage-gaps","markdownUrl":"https://teammately.ai/docs/coverage-engineering/coverage-gaps.md","sectionId":"task-steps-coverage-gaps","kind":"task","productArea":"coverage_engineering","score":367.2353696097494,"reasons":["search_match","term_match"],"markdown":"### Task steps: Coverage Gaps\n\n1. Name the behavior area that may be missing: dimension, ontology value, product flow, policy exception, source condition, or boundary scenario.\n2. Inspect **Benchmark Datasets → Representation** and the current Benchmark Version. Check whether the area is absent, represented by too few selected Cases, or represented only by easy examples.\n3. Compare the suspected gap against evaluation failures, failure clusters, Expert Contribution notes, and recent product signals.\n4. Rule out look-alike problems: missing outputs, stale cases, weak applicability logic, overly broad policies, ambiguous rubrics, or output mapping errors.\n5. Route the gap: update Coverage Facets, create a Coverage Story, source or synthesize Cases, request an Expert Contribution, or select already reviewed Cases in Benchmark Datasets.\n6. Review candidates in Case Review, create a new Snapshot when membership changes, and preserve the gap rationale in the owning coverage surfaces.\n\n![Case Pool table with selected cases and an action bar for adding cases to a benchmark.](/docs-assets/assets/screenshots/case-pool-selected-action-bar.png)\n\nWhen a gap points to specific candidates, the operator can select cases and prepare them for benchmark membership."},{"blockId":"coverage.refresh#refresh-coverage-after-product-change","pageId":"coverage.refresh","title":"Refresh coverage after product change","pageTitle":"Refresh coverage after product change","url":"https://teammately.ai/docs/coverage-engineering/coverage-refresh.md","humanUrl":"https://teammately.ai/docs/coverage-engineering/coverage-refresh#refresh-coverage-after-product-change","markdownUrl":"https://teammately.ai/docs/coverage-engineering/coverage-refresh.md","sectionId":"refresh-coverage-after-product-change","kind":"task","productArea":"coverage_engineering","score":360.59613117684285,"reasons":["search_match","term_match"],"markdown":"# Refresh coverage after product change"},{"blockId":"coverage.overview#related-workflows","pageId":"coverage.overview","title":"Related workflows","pageTitle":"Coverage Engineering","url":"https://teammately.ai/docs/coverage-engineering.md","humanUrl":"https://teammately.ai/docs/coverage-engineering#related-workflows","markdownUrl":"https://teammately.ai/docs/coverage-engineering.md","sectionId":"related-workflows","kind":"concept","productArea":"coverage_engineering","score":326.3688222357877,"reasons":["search_match","page_title_match","term_match"],"markdown":"## Related workflows\n\n{% related-card-grid title=\"Related workflows\" %}\n- [Plan benchmark coverage](/docs/coverage-engineering/plan-benchmark-coverage)\n- [Manage Coverage](/docs/coverage-management)\n- [Work with Benchmark Datasets](/docs/benchmark-datasets)\n{% /related-card-grid %}"},{"blockId":"coverage.overview#definition","pageId":"coverage.overview","title":"Definition","pageTitle":"Coverage Engineering","url":"https://teammately.ai/docs/coverage-engineering.md","humanUrl":"https://teammately.ai/docs/coverage-engineering#definition","markdownUrl":"https://teammately.ai/docs/coverage-engineering.md","sectionId":"definition","kind":"concept","productArea":"coverage_engineering","score":322.52971680323697,"reasons":["search_match","page_title_match","term_match"],"markdown":"## Definition\n\nCoverage work has two scopes. At project scope, **Coverage Facets** manages reusable Dimensions, Project Topics, and Case Construction Patterns. At benchmark scope, **Coverage Management** applies those facets to setup, representation, Coverage Stories, Case Review, Case Foundry, and contribution requests. **Benchmark Datasets** owns the selected Cases and snapshots that embody the resulting coverage.\n\nCoverage Engineering is therefore broader than adding cases. It explains why a behavior slice matters, how it is represented, which combinations are thin, and what work should close the gap."}]}