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Very-Large Scale Code Clone Analysis and Visualization of Open Source Programs Using Distributed CCFinder: D-CCFinder
Minneapolis, Minnesota May 20-May 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICSE.2007.9729th International Conference on Soft ...
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Simone Livieri, Yoshiki Higo, Makoto Matushita, Katsuro Inoue, "Very-Large Scale Code Clone Analysis and Visualization of Open Source Programs Using Distributed CCFinder: D-CCFinder," Software Engineering, International Conference on, pp. 106-115, 29th International Conference on Software Engineering (ICSE'07), 2007.
 
 
BibTex
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@article{ 10.1109/ICSE.2007.97,
author = {Simone Livieri and Yoshiki Higo and Makoto Matushita and Katsuro Inoue},
title = {Very-Large Scale Code Clone Analysis and Visualization of Open Source Programs Using Distributed CCFinder: D-CCFinder},
journal ={Software Engineering, International Conference on},
volume = {0},
year = {2007},
issn = {0270-5257},
pages = {106-115},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICSE.2007.97},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Engineering, International Conference on
TI - Very-Large Scale Code Clone Analysis and Visualization of Open Source Programs Using Distributed CCFinder: D-CCFinder
SN - 0270-5257
SP106
EP115
A1 - Simone Livieri,
A1 - Yoshiki Higo,
A1 - Makoto Matushita,
A1 - Katsuro Inoue,
PY - 2007
KW - null
VL - 0
JA - Software Engineering, International Conference on
ER -
 
Simone Livieri, Osaka University, Japan
Yoshiki Higo, Osaka University, Japan
Makoto Matushita, Osaka University, Japan
Katsuro Inoue, Osaka University, Japan
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.
Citation:
Simone Livieri, Yoshiki Higo, Makoto Matushita, Katsuro Inoue, "Very-Large Scale Code Clone Analysis and Visualization of Open Source Programs Using Distributed CCFinder: D-CCFinder," icse, pp.106-115, 29th International Conference on Software Engineering (ICSE'07), 2007
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