A graph-based dataset of commit history of real-world Android apps

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...

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Bibliographic Details
Published in2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) pp. 30 - 33
Main Authors Geiger, Franz-Xaver, Malavolta, Ivano, Pascarella, Luca, Palomba, Fabio, Di Nucci, Dario, Bacchelli, Alberto
Format Conference Proceeding
LanguageEnglish
Published New York, NY, USA ACM 28.05.2018
SeriesACM Conferences
Subjects
Android
Containers
Dataset
Google
History
Metadata
Mining Software Repositories
Open source software
Software and its engineering > Software creation and management > Software post-development issues > Maintaining software
dataset
mining software repositories
Android
Online AccessGet full text
ISBN9781450357166
1450357164
ISSN2574-3864
DOI10.1145/3196398.3196460

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Summary: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.
ISBN:9781450357166
1450357164
ISSN:2574-3864
DOI:10.1145/3196398.3196460