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

Geiger, Franz-Xaver; Malavolta, Ivano; Pascarella, Luca; Palomba, Fabio; Di Nucci, Dario; Bacchelli, Alberto (2018). A graph-based dataset of commit history of real-world Android apps. In: 15th International Conference on Mining Software Repositories (MSR), Gothenburg, Sweden, 28 June 2018 - 29 June 2018. Association for Computing Machinery, 30-33.

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.

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Software
Scope:Discipline-based scholarship (basic research)
Language:English
Event End Date:29 June 2018
Deposited On:24 Aug 2018 13:44
Last Modified:06 Mar 2024 14:27
Publisher:Association for Computing Machinery
Series Name:Proceedings of the International Conference on Mining Software Repositories
ISBN:9781450357166
Additional Information:© {Owner/Author | ACM} 2018. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in {Source Publication}, https://doi.org/10.1145/3196398.3196460
OA Status:Green
Publisher DOI:https://doi.org/10.1145/3196398.3196460
Related URLs:https://androidtimemachine.github.io (Author)
Other Identification Number:merlin-id:16640
Project Information:
  • Funder: SNSF
  • Grant ID: PP00P2_170529
  • Project Title: Data-driven Contemporary Code Review
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