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

Franz Xaver Geiger, Ivano Malavolta, Luca Pascarella, Fabio Palomba, Dario Di Nucci, Alberto Bacchelli

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2018 ACM/IEEE 15th International Conference on Mining Software Repositories, MSR 2018
Place of PublicationNew York, NY
PublisherACM, IEEE Computer Society
Pages30-33
Number of pages4
ISBN (Print)9781450357166
DOIs
Publication statusPublished - 28 May 2018
Event15th ACM/IEEE International Conference on Mining Software Repositories, MSR 2018, co-located with the 40th International Conference on Software Engineering, ICSE 2018 - Gothenburg, Sweden
Duration: 28 May 201829 May 2018

Conference

Conference15th ACM/IEEE International Conference on Mining Software Repositories, MSR 2018, co-located with the 40th International Conference on Software Engineering, ICSE 2018
CountrySweden
CityGothenburg
Period28/05/1829/05/18

Keywords

  • Android
  • dataset
  • mining software repositories

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