Presentation 2005-03-15
A Library for Measuring Similarity of Java Source Programs Using Self-Organizing Maps
Toshihiro KITAGAWA, Yasuhiro SUGIYAMA,
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Abstract(in English) This paper presents a library to measure the similarity of Java source programs. The library does not compute the similarity of source programs based on strict comparison. The library uses Kohonen's Self-Organizing Maps to classify Java source programs. The similarity measure is computed based on the classification. Given source programs are classified by the SOM using metrics extracted from them. The metrics used by the SOM can be defined by the library users.
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Keyword(in English) Similarity / Self-Organizing Maps / Metrics / Java
Paper # SS2004-67
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Conference Date 2005/3/8(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Library for Measuring Similarity of Java Source Programs Using Self-Organizing Maps
Sub Title (in English)
Keyword(1) Similarity
Keyword(2) Self-Organizing Maps
Keyword(3) Metrics
Keyword(4) Java
1st Author's Name Toshihiro KITAGAWA
1st Author's Affiliation Graduate School of Engineering, Nihon University()
2nd Author's Name Yasuhiro SUGIYAMA
2nd Author's Affiliation Department of Computer Science, College of Engineering, Nihon University
Date 2005-03-15
Paper # SS2004-67
Volume (vol) vol.104
Number (no) 723
Page pp.pp.-
#Pages 6
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