Classifying code comments in Java Mobile Applications

Conference paper (2018)

Authors

L. Pascarella Software Engineering - EEMCS
Research Group
Software Engineering (EEMCS) (TU Delft)
Copyright: © 2018 L. Pascarella
DOI: https://doi.org/10.1145/3197231.3198444
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Published Date

2018

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Software Engineering

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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