Not logged in.
Quick Search - Contribution
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 |
|
Presentation Type | paper |
Item Subtype | Original Work |
Refereed | Yes |
Status | Published in final form |
Language |
|
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. |
Related URLs | |
Digital Object Identifier | 10.1145/3197231.3197251 |
Other Identification Number | merlin-id:16643 |
PDF File | Download from ZORA |
Export |
BibTeX
EP3 XML (ZORA) |
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 |