security-ownership-map

To map git ownership, build a bipartite people-files ownership graph from commit history and compute risk metrics like bus factor and sensitive hotspots. It analyzes repository data to reveal ownership dynamics and security vulnerabilities.

A bus factor metric identifies ownership risk by analyzing how knowledge is distributed across people and files in your git history. Codebase ownership analysis constructs a graph to calculate this risk, highlighting areas dependent on single individuals.

Yes, you can export git ownership graph data to Neo4j or Gephi. The analysis produces CSV and JSON artifacts from your repository's commit history, which can be directly imported into graph databases for visualization and bounded queries.

Git ownership analytics supports time-window scoping and co-change clustering to analyze specific periods of commit history. This reveals how file groups change together and identifies community detection patterns within your repository.

You need Python to run git security ownership analysis, while networkx is an optional dependency. The analysis uses scripts and references to process commit history, build the ownership graph, and output CSV/JSON artifacts.

The best way to identify sensitive code hotspots is to construct a bipartite ownership topology from git commit history. This approach computes ownership risk metrics and applies community detection to reveal security-focused hotspots in the codebase.