component-identification-sizing

Codebase decomposition identifies architectural components as leaf nodes within directory structures to avoid conflating subdomains. It then calculates executable statements and files to establish clear domain boundaries and support safer refactoring.

Identify oversized components by calculating executable statements and deriving standard deviation statistics across the inventory. Standard deviation analysis flags components that exceed the mean, generating recommendations for splitting oversized or consolidating undersized modules.

Measure codebase decomposition by detecting leaf-node components and computing their percentage of the overall codebase. This generates a component inventory and size distribution summaries that provide quantitative metrics to guide refactoring decisions.

Component sizing applies to diverse codebases and languages by analyzing directory and namespace structures. It identifies leaf-node components and calculates executable statements regardless of the underlying programming language used in the codebase.

Detecting components as leaf nodes in directory or namespace structures prevents conflating subdomains with actual components. This approach ensures accurate size metrics calculation by isolating individual executable statement counts for targeted decomposition planning.

An architectural component inventory requires executable statement counts, file counts, and codebase percentages for each leaf-node component. Mean and standard deviation statistics are also computed to flag oversized or undersized components for refactoring recommendations.