A Graph-based Dataset of Commit History of Real-World Android apps

Conference paper (2018)

Authors

Franz-Xaver Geiger Vrije Universiteit Amsterdam
Ivano Malavolta Vrije Universiteit Amsterdam
L. Pascarella Software Engineering - EEMCS
F. Palomba University of Zürich
D. Di Nucci Vrije Universiteit Brussel
A. Bacchelli University of Zürich
Research Group
Software Engineering (EEMCS) (TU Delft)
Copyright: © 2018 Franz-Xaver Geiger, Ivano Malavolta, L. Pascarella, F. Palomba, D. Di Nucci, A. Bacchelli
Android Dataset Mining Software Repositories
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Published Date

2018

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Software Engineering

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.