security-ownership-map

Git history analysis for bus factor calculation constructs a bipartite people-files ownership graph to quantify ownership risk. It processes commit logs to identify maintainers and surface orphaned sensitive code within your codebase.

A people-files ownership graph is a bipartite network mapping developers to modified source files to reveal accountability gaps. It analyzes co-change clusters to identify maintenance relationships and risk pockets within your codebase.

Yes, you can export Git ownership data to Neo4j or Gephi for visualization. The workflow outputs graph artifacts in CSV, JSON, and graphml formats, providing the necessary node and edge data for external graph visualization platforms.

Yes, you need Python 3 and the networkx dependency to run Git ownership analysis. The workflow executes via a Python script to build the ownership graph and compute bus factor metrics from your repository commit history.

To find orphaned sensitive code, analyze Git history to construct an ownership graph and quantify ownership risk scores. This approach highlights files lacking active maintainers and identifies accountability gaps in your codebase.

The best way to identify maintainers from Git commit history is to map developer-file modifications into a bipartite graph and compute ownership risk scores. This networkx-based approach quantifies accountability and highlights key contributors.