| name | gap-driven-generation |
| description | Generate solutions targeting specific coverage gaps — detect gaps, generate failure-driven solutions, and design factor-level experiments. |
| execution | tactic |
| used-by | systematic-enumeration, failure-taxonomy, factorial-ideation |
Gap-Driven Generation
Detect coverage gaps in the solution space, then generate targeted solutions using failure analysis and factorial design.
Stages
Stage 1: Coverage Gap Detection
Run coverage-gap-detection SOP to identify uncovered regions in the solution space. Output: gap list with priority ranking based on impact and feasibility.
Stage 2: Failure-Driven Generation
Run failure-driven-generation SOP to generate solutions that specifically target identified failure modes or gaps. Output: one or more targeted solutions per gap.
Stage 3: Factor-Level Design
Run factor-level-design SOP to identify key factors in the gap space, define levels, and design an experiment matrix for systematic exploration. Output: factorial design ready for implementation.
Minimum Yield
| Metric | Floor |
|---|
| Coverage gaps identified | ≥3 |
| Gaps with priority ranking | 100% |
| Solutions generated per gap | ≥1 |
| Total targeted solutions | ≥3 |
| Factor-level matrix produced | yes |
Available SOPs
| SOP | Role |
|---|
| coverage-gap-detection | Stage 1 — detect uncovered regions |
| failure-driven-generation | Stage 2 — generate targeted solutions |
| factor-level-design | Stage 3 — factorial experiment design |
