TY - GEN
T1 - A graph-based dataset of commit history of real-world Android apps
AU - Geiger, Franz-Xaver
AU - Malavolta, Ivano
AU - Pascarella, Luca
AU - Palomba, Fabio
AU - Di Nucci, D.
AU - Bacchelli, Alberto
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85051647148&partnerID=MN8TOARS
U2 - 10.1145/3196398.3196460
DO - 10.1145/3196398.3196460
M3 - Conference contribution
BT - Proceedings - International Conference on Software Engineering
ER -