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| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Classifying Code Comments in Java Open-Source Software Systems |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| ISBN | 978-1-5386-1544-7 |
| Page Range | 227 - 237 |
| Event Title | 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR) |
| Event Type | conference |
| Event Location | Buenos Aires, Argentina |
| Event Start Date | June 20 - 2017 |
| Event End Date | June 21 - 2017 |
| Place of Publication | USA |
| Publisher | IEEE |
| Abstract Text | 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. |
| Digital Object Identifier | 10.1109/MSR.2017.63 |
| Other Identification Number | merlin-id:20238 |
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| Additional Information | ACM SIGSOFT Distinguished Paper Award |