Self-Reported Activities of Android Developers
datasetposted on 2018-01-19, 16:23 authored by Luca Pascarella, Franz-Xaver Geiger, Fabio PalombaFabio Palomba, Dario Di NucciDario Di Nucci, Ivano Malavolta, Alberto BacchelliAlberto Bacchelli
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 8,608 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.