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RepliComment: Identifying Clones in Code Comments

Type of publication Peer-reviewed
Publikationsform Original article (peer-reviewed)
Author Blasi Arianna, Stulova Nataliia, Gorla Alessandra, Nierstrasz Oscar,
Project Agile Software Assistance
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Original article (peer-reviewed)

Journal Journal of Systems & Software
Page(s) 111069 - 111069
Title of proceedings Journal of Systems & Software
DOI 10.1016/j.jss.2021.111069

Open Access

URL https://www.sciencedirect.com/science/article/pii/S0164121221001667
Type of Open Access Publisher (Gold Open Access)

Abstract

Code comments are the primary means to document implementation, and facilitate program comprehension. Thus, their quality should be a primary concern to improve program maintenance. While much effort has been dedicated to detecting bad smells such as clones in code, little work has focused on comments. In this paper we present our solution to detect clones in comments that developers should fix. RepliComment can automatically analyze Java projects and report instances of copy-and-paste errors in comments, and can point developers to which comments should be fixed. Moreover, it can report when clones are signs of poorly written comments. Developers should fix these instances too in order to improve the quality of the code documentation. Our evaluation of ten well-known open source Java projects identified over 11K instances of comment clones, and over 1,300 of them are potentially critical. We improve on our own previous work, which could only find 36 issues in the same dataset. Our manual inspection of 412 issues reported by RepliComment reveals that it achieves a precision of 79\% in reporting critical comment clones. The manual inspection of 200 additional comment clones that RepliComment filters out as being legitimate, could not evince any false negative.
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