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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Self-reported activities of Android developers
Organization Unit
Authors
  • Luca Pascarella
  • Franz-Xaver Geiger
  • Fabio Palomba
  • Dario Di Nucci
  • Ivano Malavolta
  • Alberto Bacchelli
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
ISBN 9781450357128
Page Range 144 - 155
Event Title 5th International Conference on Mobile Software Engineering and Systems (MOBILESoft)
Event Type conference
Event Location Gothenburg, Sweden
Event Start Date June 27 - 2018
Event End Date June 28 - 2018
Series Name Proceedings of the International Conference on Mobile Software Engineering and Systems
Place of Publication New York, New York, USA
Publisher Association for Computing Machinery
Abstract Text To gain a deeper empirical understanding of how developers work on Android apps, we investigate self-reported activities of Android developers and to what extent these activities can be classified with machine learning techniques. To this aim, we firstly create a taxonomy of self-reported activities coming from the manual analysis of 5,000 commit messages from 8,280 Android apps. Then, we study the frequency of each category of self-reported activities identified in the taxonomy, and investigate the feasibility of an automated classification approach. Our findings can inform be used by both practitioners and researchers to take informed decisions or support other software engineering activities.
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Digital Object Identifier 10.1145/3197231.3197251
Other Identification Number merlin-id:16643
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Funders Swiss National Science Foundation: SNF Project No. PP00P2_170529 ; European Commission: SENECA - EU MSCA-ITN-2014-EID no.642954 ; Belgian Innoviris TeamUp project INTiMALS