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Source Code Similarity Detection Using Adaptive Local Alignment of Keywords
Adelaide, Australia December 03-December 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PDCAT.2007.75Eighth International Conference on Pa ...
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Jeong-Hoon Ji, Soo-Hyun Park, Gyun Woo, Hwan-Gue Cho, "Source Code Similarity Detection Using Adaptive Local Alignment of Keywords," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 179-180, Eighth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2007), 2007.
 
 
BibTex
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@article{ 10.1109/PDCAT.2007.75,
author = {Jeong-Hoon Ji and Soo-Hyun Park and Gyun Woo and Hwan-Gue Cho},
title = {Source Code Similarity Detection Using Adaptive Local Alignment of Keywords},
journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-3049-4},
pages = {179-180},
doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2007.75},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel and Distributed Computing Applications and Technologies, International Conference on
TI - Source Code Similarity Detection Using Adaptive Local Alignment of Keywords
SN - 0-7695-3049-4
SP179
EP180
A1 - Jeong-Hoon Ji,
A1 - Soo-Hyun Park,
A1 - Gyun Woo,
A1 - Hwan-Gue Cho,
PY - 2007
VL - 0
JA - Parallel and Distributed Computing Applications and Technologies, International Conference on
ER -
 
Program similarity checking is an important applica- tion of programming education fields. Local alignment is one of the typical algorithms for comparing two strings. However local alignment based comparison does not re- flect the weights of program keywords. This paper intro- duces an adaptive local alignment which reflects the fre- quencies of keywords to the similarity matrix. We experi- mented this method using a set of programs submitted to more than 10 real programming contests. The experimen- tal result shows that the adaptive local alignment is more robust than greedy-string-tiling adopted in JPlag.
Citation:
Jeong-Hoon Ji, Soo-Hyun Park, Gyun Woo, Hwan-Gue Cho, "Source Code Similarity Detection Using Adaptive Local Alignment of Keywords," pdcat, pp.179-180, Eighth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2007), 2007
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