Classifying code comments in Java Mobile Applications

Luca Pascarella

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

7 Citations (Scopus)
159 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationConference on Mobile Software Engineering and Systems
Number of pages2
Publication statusPublished - 2018

Bibliographical note

Acknowledgments: European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 642954


  • Software and its engineering
  • Maintaining software


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