Abstract
Developers adopt code comments for different reasons such as document source codes or change program flows. Due to a variety of use scenarios, code comments may impact on readability and maintainability. In this study, we investigate how developers of 5 open-source mobile applications use code comments to document
their projects. Additionally, we evaluate the performance of two machine learning models to automatically classify code comments. Initial results show marginal differences between desktop and mobile applications.
their projects. Additionally, we evaluate the performance of two machine learning models to automatically classify code comments. Initial results show marginal differences between desktop and mobile applications.
| Original language | English |
|---|---|
| Title of host publication | Conference on Mobile Software Engineering and Systems |
| Pages | 39-40 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 2018 |
Bibliographical note
Acknowledgments: European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 642954Keywords
- Software and its engineering
- Maintaining software
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Classifying code comments in Java Mobile Applications
Pascarella, L. (Creator), TU Delft - 4TU.ResearchData, 16 Mar 2020
DOI: 10.4121/UUID:97F5FC68-0C48-4EA6-B357-184F5B6809C9
Dataset/Software: Dataset