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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

43 Citations (Scopus)
215 Downloads (Pure)

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 of the 15th International Conference on Mining Software Repositories, MSR. ACM, New York, NY
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages30-33
Number of pages4
ISBN (Print)978-1-4503-5716-6
Publication statusPublished - 2018
EventMSR 2018: 15th International Conference on Mining Software Repositories - Gothia Towers, Gothenburg, Sweden
Duration: 28 May 201829 May 2018
Conference number: 15
https://2018.msrconf.org/

Conference

ConferenceMSR 2018: 15th International Conference on Mining Software Repositories
Abbreviated titleMSR
Country/TerritorySweden
CityGothenburg
Period28/05/1829/05/18
Internet address

Bibliographical note

Accepted Author Manuscript

Keywords

  • Android
  • Mining Software Repositories
  • Dataset

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