Presentation 2018-03-07
A Determination Method of Locality Sensitive Hashing Parameters for Code Clone Detection
Shogo Tokui, Norihiro Yoshida, Eunjong Choi, Katsuro Inoue,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) LSH (Locality-Sensitive Hashing) is a near neighbor search algorithm that performs probabilistic hashing of high-dimensional data. For reducing the detection time of code clones, the execution time of LSH needs to be speeded up. In this study, we propose an approach to determine LSH parameters based on source code analysis in order to not only speed up code clone detection but also keep the preciseness of it.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Code Clone / Locality-Sensitive Hashing / Code block
Paper # SS2017-74
Date of Issue 2018-02-27 (SS)

Conference Information
Committee SS
Conference Date 2018/3/6(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kazuhiro Ogata(JAIST)
Vice Chair Akio Nakata(Hiroshima City Univ.)
Secretary Akio Nakata(Tokyo Inst. of Tech.)
Assistant Kazuyuki Shima(Hiroshima City Univ.)

Paper Information
Registration To Technical Committee on Software Science
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Determination Method of Locality Sensitive Hashing Parameters for Code Clone Detection
Sub Title (in English)
Keyword(1) Code Clone
Keyword(2) Locality-Sensitive Hashing
Keyword(3) Code block
1st Author's Name Shogo Tokui
1st Author's Affiliation Osaka University(Osaka Univ.)
2nd Author's Name Norihiro Yoshida
2nd Author's Affiliation Nagoya University(Nagoya Univ.)
3rd Author's Name Eunjong Choi
3rd Author's Affiliation Nara Institute of Science and Technology(NAIST)
4th Author's Name Katsuro Inoue
4th Author's Affiliation Osaka University(Osaka Univ.)
Date 2018-03-07
Paper # SS2017-74
Volume (vol) vol.117
Number (no) SS-477
Page pp.pp.57-62(SS),
#Pages 6
Date of Issue 2018-02-27 (SS)