reversa-reviewer

Validating reverse-engineered specifications involves cross-checking inferred models within units and across multiple units to uncover contradictions, identify unaddressed edge cases, and flag weak assumptions for human review.

Cross-unit coherence checking is the process of auditing reverse-engineered specifications across separate modules to ensure systemic consistency, capturing evidence of conflicts, and reclassifying confidence levels using a standardized taxonomy.

Finding gaps in inferred system models requires systematically auditing reverse-engineered specifications to identify unaddressed edge cases critical for safe deployment, generating targeted validation questions to confirm actual behavior.

Reclassifying confidence levels in reverse-engineering specifications requires applying a standardized taxonomy to documented statements, capturing supporting evidence, and flagging weak assumptions for subsequent human validation.

Auditing inferred models against actual system behavior is best accomplished by running structured checks on generated reverse-engineering specifications, identifying inconsistencies, and producing targeted validation questions for human review.