Presentation 2001/7/23
Source Code Analysis System Using Code Clone Detection Tool
Yasushi Ueda, Toshihiro Kamiya, Shinji Kusumoto, Katsuro Inoue,
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Abstract(in English) Maintaining the software system is getting more complex and difficult, as its scale is getting larger. It is generally said that code clone is one of the factors that make software maintenance difficult. A code clone is a code portion in source files that is identical or similar to another. If a code clone contains a fault and is copied and modified many times, it is necessary to correct all the fragments. However, for the large-scale software, it is very difficult to correct them completely. In this paper, we develp a source code analysis system which visualizes the code clone information from Code Clone Detection Tool, CCFinder. Using the system, we can specify a set of code clone which should be examined through the scatter plot about clone pair or the softwere metrics graph about clone class (a set of equivalents), and refer the corresponded fragments of source code by the pair.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Software Maintenance / Code Clone / Software Metrics
Paper # SS2001-14
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Committee SS
Conference Date 2001/7/23(1days)
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Registration To Software Science (SS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Source Code Analysis System Using Code Clone Detection Tool
Sub Title (in English)
Keyword(1) Software Maintenance
Keyword(2) Code Clone
Keyword(3) Software Metrics
1st Author's Name Yasushi Ueda
1st Author's Affiliation Graduate School of Engineering Science, Osaka University()
2nd Author's Name Toshihiro Kamiya
2nd Author's Affiliation PRESTO, Japan Science and Technology Corporation
3rd Author's Name Shinji Kusumoto
3rd Author's Affiliation Graduate School of Engineering Science, Osaka University
4th Author's Name Katsuro Inoue
4th Author's Affiliation Graduate School of Engineering Science, Osaka University
Date 2001/7/23
Paper # SS2001-14
Volume (vol) vol.101
Number (no) 240
Page pp.pp.-
#Pages 8
Date of Issue