Investigating the code fragments of code clones detected by code clone detection tools is a time-consuming task, especially when a large number of reference source files are available. This paper proposes (i) a method for clustering a clone class, which is detected by code clone detection tools using syntactic similarity, based on topic similarity by considering its code fragments as sequences of words and (ii) a method for assigning short tags to clusters of the clustering result. We also report an experiment of applying the proposed method to packages of an open source operating system.
@article{arxiv.2110.01092,
title = {Towards Informative Tagging of Code Fragments to Support the Investigation of Code Clones},
author = {Daisuke Nishioka and Toshihiro Kamiya},
journal= {arXiv preprint arXiv:2110.01092},
year = {2021}
}
Comments
7 pages, 15th International Workshop on Software Clones