Paper Info
Title
Extracting code clones for refactoring using combinations of clone metrics
Abstract
Code clone detection tools may report a large number of code clones, while software developers are interested in only a subset of code clones that are relevant to software development tasks such as refactoring. Our research group has supported many software developers with the code clone detection tool CCFinder and its GUI front-end Gemini. Gemini shows clone sets (i.e., a set of code clones identical or similar to each other) with several clone metrics including their length and the number of code clones; however, it is not clear how to use those metrics to extract interesting code clones for developers. In this paper, we propose a method combining clone metrics to extract code clones for refactoring activity. We have conducted an empirical study on a web application developed by a Japanese software company. The result indicates that combinations of simple clone metric is more effective to extract refactoring candidates in detected code clones than individual clone metric.
Year
DOI
Venue
2011
10.1145/1985404.1985407
IWSC
Keywords
DocType
Citations 
code clone detection tool,refactoring activity,simple clone metric,code clone,clone set,clone metrics,extracting code clone,japanese software company,interesting code clone,software development task,software developer,refactoring,software development,web application development,empirical study,front end
Conference
16
PageRank 
References 
Authors
0.67
10
5
Name
Order
Citations
PageRank
Eunjong Choi17611.21
Norihiro Yoshida219623.33
Takashi Ishio321128.48
Katsuro Inoue42424172.31
Tateki Sano5331.77