security-ownership-map

You can calculate bus factor risk by analyzing git commit history to build a people-to-file ownership topology. This process maps author contributions to specific code assets, surfacing ownership gaps and orphaned sensitive files.

CODEOWNERS drift occurs when declared ownership rules misalign with actual commit patterns. Detect this drift by generating a people-to-file ownership graph from git history and comparing it against your CODEOWNERS file to surface discrepancies.

Yes, you can export git ownership graphs for Neo4j or Gephi visualization. The analysis generates CSV and JSON graph artifacts containing the people-to-file topology and co-change relationships, which are directly importable into graph databases.

Networkx supports community detection for code co-change graphs. By constructing a bipartite people-to-file ownership graph from git commits, you can apply community detection algorithms to identify clusters of frequently modified files.

You audit security ownership for orphaned sensitive code by running an ownership topology analysis on your target repository. Apply optional sensitivity rules and time windows to git history to surface code assets lacking active maintainers and assess bus factor risks.

Limitations of using git history for code ownership analysis include relying entirely on commit metadata, which may not reflect actual review authority. Additionally, time window selections can skew bus factor metrics and miss historical ownership drift.