An intelligent tool for re-engineering software modularity

Abstract

The author describes a software tool that provides heuristic modularization advice for improving existing code. A heuristic design similarity measure is defined, based on the Parna information hiding principle. The measure supports two services: clustering, which identifies groups of related procedures, and maverick analysis, which identifies individual procedures that appear to be in the wrong module. The tool has already provided useful advice in several real programming projects. The tool will soon incorporate an automatic tuning method, which allows the tool to learn from its mistakes, adapting its advice to the architect's preferences. A preliminary experiment demonstrates that the automatically tuned similarity function can assign procedures to modules very accurately.