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