component-identification-sizing

You can identify oversized components by mapping leaf nodes in your directory structure and calculating size metrics like statement counts, file percentages, and standard deviation to highlight components needing decomposition.

Component sizing measures codebase elements by computing statements, files, and percentages. Standard deviation analysis supports decomposition planning by mathematically flagging oversized or undersized components that deviate from the norm.

Calculate codebase size metrics for migration planning by mapping architectural leaf nodes, computing statement counts and file percentages, and generating a component inventory with size distribution summaries to guide your migration.

Yes, architectural component identification works with monolithic codebases in multiple languages by mapping leaf nodes from directory and namespace structures to apply consistent sizing metrics across the diverse codebase.

The best way to generate a component inventory is to map leaf nodes, compute rigorous size metrics including standard deviation, and output an inventory summary with actionable recommendations for splitting or consolidating components.