Very-Large Scale Code Clone Analysis and Visualization of Open Source Programs Using Distributed CCFinder: D-CCFinder
Abstract
The increasing performance-price ratio of computer hardware makes possible to explore a distributed approach at code clone analysis. This paper presents D-CCFinder, a distributed approach at large-scale code clone analysis. D-CCFinder has been implemented with 80 PC workstations in our student laboratory, and a vast collection of open source software with about 400 million lines in total has been analyzed with it in about 2 days. The result has been visualized as a scatter plot, which showed the presence of frequently used code as easy recognizable patterns. Also, D-CCFinder has been used to analyze a single software system against the whole collection in order to explore the presence of code imported from open source software.
BibTeX
@inproceedings{Livieri-al:ICSE07,
author = {Simone Livieri and
Yoshiki Higo and
Makoto Matsushita and
Katsuro Inoue},
title = {{Very-Large} Scale Code Clone Analysis and Visualization of Open Source Programs Using Distributed {CCFinder:} {D-CCFinder}},
booktitle = {ICSE},
pages = {106--115},
publisher = {{IEEE} Computer Society},
year = {2007},
}