infer-quality-vision-from-code

To synthesize an ISO 25010 quality vision for a brownfield codebase, merge upstream NFR specifications, quality profiles, and physical and logical architecture proposals, then attach scan-index evidence signals to generate a comprehensive quality-vision proposal.

ISO 25010 architecture synthesis requires JSON-valid scan-index evidence signals linking ADR titles, lifecycle gate configuration files, and reliability cadence signals to the correct quality characteristics.

You can generate a quality vision with incomplete upstream NFR specifications, but the system records knowledge gaps in a resolution trace instead of fabricating missing thresholds, tools, or mappings.

To attach decision traceability to a tier-1 quality vision proposal, the system generates a decision manifest and a resolution trace alongside the primary artifact, recording any knowledge gaps during the synthesis process.

No, it requires valid YAML upstream proposals from four prerequisite inference skills, including physical and logical architecture, to build per-characteristic narratives and targets without inventing new mappings.

Quality vision synthesis records knowledge gaps instead of targets when upstream coverage from NFR specs and architecture proposals is incomplete, ensuring the decision manifest reflects actual evidence rather than fabricated content.