Using automatic clustering to produce high-level system organizations of source code

被引：228

作者：

Mancoridis, S ^{[1
]}

Mitchell, BS ^{[1
]}

Rorres, C ^{[1
]}

Chen, Y ^{[1
]}

Gansner, ER ^{[1
]}

机构：

[1] Drexel Univ, Dept Math & Comp Sci, Philadelphia, PA 19104 USA

来源：

6TH INTERNATIONAL WORKSHOP ON PROGRAM COMPREHENSION (IWPC 98) - PROCEEDINGS | 1998年

关键词：

clustering; reverse engineering; software structure; optimization; genetic algorithms;

D O I：

10.1109/WPC.1998.693283

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper describes a collection of algorithms that we developed and implemented to facilitate the automatic recovery of the modular structure of a software system from its source code. We treat automatic modularization as an optimization problem. Our algorithms make use of traditional hill-climbing and genetic algorithms.

引用

页码：45 / 52

页数：8