DocumentCode :
2452978
Title :
Filtering clones for individual user based on machine learning analysis
Author :
Yang, Jiachen ; Hotta, Keisuke ; Higo, Yoshiki ; Igaki, Hiroshi ; Kusumoto, Shinji
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita, Japan
fYear :
2012
fDate :
4-4 June 2012
Firstpage :
76
Lastpage :
77
Abstract :
Results from code clone detectors may contain plentiful useless code clones, and judging whether a code clone is useful varies from user to user based on different purposes of them. We are planing a system to study the judgment of each individual user by applying machine learning algorithms on code clones. We describe the reason why individual judgment should be respected and how in this paper.
Keywords :
human computer interaction; learning (artificial intelligence); software engineering; clones filtering; code clones detetector; machine learning analysis; software source code; Cloning; Detectors; Educational institutions; Electronic mail; Information science; Machine learning; Machine learning algorithms; classify; code clone detector; filtering; judgment of user; machine learning; token-based;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Clones (IWSC), 2012 6th International Workshop on
Conference_Location :
Zurich
Print_ISBN :
978-1-4673-1794-8
Type :
conf
DOI :
10.1109/IWSC.2012.6227872
Filename :
6227872
Link To Document :
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