Classifying code comments in Java Mobile Applications

Conference Paper (2018)
Author(s)

L. Pascarella (TU Delft - Software Engineering)

Research Group
Software Engineering
Copyright
© 2018 L. Pascarella
DOI related publication
https://doi.org/10.1145/3197231.3198444
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 L. Pascarella
Research Group
Software Engineering
Bibliographical Note
Acknowledgments: European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 642954@en
Pages (from-to)
39-40
Reuse Rights

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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.

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