Classifying Code Comments in Java Open-Source Software Systems

Conference Paper (2017)
Author(s)

L. Pascarella (TU Delft - Software Engineering)

A. Bacchelli (TU Delft - Software Engineering)

Research Group
Software Engineering
Copyright
© 2017 L. Pascarella, A. Bacchelli
DOI related publication
https://doi.org/10.1109/MSR.2017.63
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 L. Pascarella, A. Bacchelli
Research Group
Software Engineering
Pages (from-to)
227-237
ISBN (electronic)
978-1-5386-1544-7
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Code comments are a key software component containing information about the underlying implementation. Several studies have shown that code comments enhance the readability of the code. Nevertheless, not all the comments have the same goal and target audience. In this paper, we investigate how six diverse Java OSS projects use code comments, with the aim of understanding their purpose. Through our analysis, we produce a taxonomy of source code comments, subsequently, we investigate how often each category occur by manually classifying more than 2,000 code comments from the aforementioned projects. In addition, we conduct an initial evaluation on how to automatically classify code comments at line level into our taxonomy using machine learning, initial results are promising and suggest that an accurate classification is within reach.

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