Coverage Matrix Construction

Enumerate all required elements from your input specification, list available threads from raw processing, then score each element-thread cell as Addressed, Partial, or Missing. Aggregate coverage percentages per element and per thread, and document gaps with severity and remediation.

Run the included validate_output.py script with the output file path as argument. It checks for required fields like coverage_matrix, coverage_aggregation, and gap_analysis, verifies overall_coverage is between 0 and 1, and confirms gap severity values are Low, Medium, or High.

Each element-thread cell must be one of three indicators: Addressed, Partial, or Missing. These values feed the aggregation step that computes per-element, per-thread, and overall coverage percentages.

Validation fails when a gap entry uses a severity outside the allowed set of Low, Medium, or High, or when required keys like element or severity are missing. Check each gap object in gap_analysis.gaps against the schema.

Coverage scoring depends on accurate element extraction and honest depth assessment; marking elements covered without verifying relevance produces superficial results. It also cannot distinguish input specification errors from genuine processing gaps without careful review.