component-identification-sizing

To identify architectural components in a codebase, the system detects leaf-node components based on the directory and namespace structure. It then computes size metrics by counting executable statements and files to support decomposition planning.

The best way to size a codebase is by computing executable statements and files to derive statistical summaries and codebase percentages. This process flags oversized components for potential splitting and undersized ones for consolidation.

Yes, you can generate a component inventory for a codebase of any programming language. The identification process applies universally to detect components and compute sizing analytics regardless of the language used.

You get recommendations for migrating or splitting codebase components by running the identification process on a repository. It produces an actionable component inventory and sizing recommendations to guide architectural decisions.

When analyzing a codebase for decomposition, the computed size metrics include counting executable statements and files. These metrics derive codebase percentages and statistical summaries like mean and standard deviation to guide governance.