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Import UAPF package
v0.2
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docs/05-validation-report.md
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# 05 — Validation Report
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Package: `lv.civdef.drone-threat-public-address` v0.3.0
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Date: 2026-05-18 · Tool: `validate.py`
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## Result: 19 / 19 checks passed
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### Structural
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- All three cornerstone files (BPMN, DMN, CMMN) are well-formed XML.
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- All six YAML files parse.
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- `uapf.yaml` validates against `uapf-manifest.schema.json` (UAPF v2.2.0).
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### Model integrity
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- BPMN: 26 flow nodes; every `sequenceFlow` source/target resolves.
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- DMN: exactly 6 decisions; every `informationRequirement` href resolves.
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- CMMN: 11 human tasks across 3 stages.
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### Quality gates added in v0.3.0 (these are the v0.2.0 defects)
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- **Every DMN decision carries a `<description>`.** v0.2.0 had none.
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- **No declared-but-unused decision inputs.** Every `requiredInput` of every
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decision is used as a decision-table input column or in an output
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expression. This is the check that proves the v0.2.0 interception defect —
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`positiveHostileId` declared but never tested — is fixed.
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- **Every `mappings.yaml` binding resolves to a real diagram element**, and
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every `targetId` resolves to a declared target. The resource↔process linkage
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is now machine-checkable.
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## What is *not* validated here
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- **Semantic correctness of the modelled algorithm** — whether these are the
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right institutions, thresholds and SLAs — is an institutional review
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question, tracked in `01-institutional-gap-analysis.md`.
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- **DMN completeness/overlap** of `FIRST`-hit tables is not formally verified;
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each table ends with a catch-all rule so no input is left without an output.
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- Diagram interchange (DI) renders cleanly in `dmn-js` / `bpmn-js` / `cmmn-js`;
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visual review in the target viewer is still recommended.
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## Reproduce
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```
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python3 validate.py # exits non-zero on any failure
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```
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