A graph-based dataset of commit history of real-world Android apps
Geiger,Franz-Xaver Malavolta,Ivano Pascarella,Luca Palomba,Fabio Di Nucci,D. Bacchelli,Alberto
Geiger,Franz-Xaver
Malavolta,Ivano
Pascarella,Luca
Palomba,Fabio
Di Nucci,D.
Bacchelli,Alberto
Abstract
Obtaining a good dataset to conduct empirical studies on the engineering of Android apps is an open challenge. To start tackling this challenge, we present AndroidTimeMachine, the first, self-contained, publicly available dataset weaving spread-out data sources about real-world, open-source Android apps. Encoded as a graph-based database, AndroidTimeMachine concerns 8,431 real open-source Android apps and contains: (i) metadata about the apps' GitHub projects, (ii) Git repositories with full commit history and (iii) metadata extracted from the Google Play store, such as app ratings and permissions.
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2018
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Research Projects
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Citation
Geiger, F-X, Malavolta, I, Pascarella, L, Palomba, F, Di Nucci, D & Bacchelli, A 2018, A graph-based dataset of commit history of real-world Android apps. in Proceedings - International Conference on Software Engineering. https://doi.org/10.1145/3196398.3196460