Component Rank: Relative Significance Rank for Software Component Search
Abstract
Collections of already developed programs are important resources for efficient development of reliable software systems. In this paper, we propose a novel method of ranking software components, called Component Rank, based on analyzing actual use relations among the components and propagating the significance through the use relations. We have developed a component-rank computation system, and applied it to various Java programs. The result is promising such that non-specific and generic components are ranked high. Using the Component Rank system as a core part, we are currently developing Software Product Archiving, analyzing, and Retrieving System named SPARS.
BibTeX
@inproceedings{Inoue-al:ICSE03,
author = {Katsuro Inoue and
Reishi Yokomori and
Hikaru Fujiwara and
Tetsuo Yamamoto and
Makoto Matsushita and
Shinji Kusumoto},
title = {Component Rank: Relative Significance Rank for Software Component Search},
booktitle = {ICSE},
pages = {14--24},
publisher = {{IEEE} Computer Society},
year = {2003},
}