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

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

Software Engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

43 Citations (Scopus)

233 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 language	English
Title of host publication	Proceedings of the 15th International Conference on Mining Software Repositories, MSR. ACM, New York, NY
Place of Publication	New York, NY
Publisher	ACM
Pages	30-33
Number of pages	4
ISBN (Print)	978-1-4503-5716-6
Publication status	Published - 2018
Event	MSR 2018: 15th International Conference on Mining Software Repositories - Gothia Towers, Gothenburg, Sweden Duration: 28 May 2018 → 29 May 2018 Conference number: 15 https://2018.msrconf.org/

Conference

Conference	MSR 2018: 15th International Conference on Mining Software Repositories
Abbreviated title	MSR
Country/Territory	Sweden
City	Gothenburg
Period	28/05/18 → 29/05/18
Internet address	https://2018.msrconf.org/

Bibliographical note

Accepted Author Manuscript

Keywords

Android
Mining Software Repositories
Dataset

Access to Document

TUD-SERG-2018-008Accepted author manuscript, 500 KB

Cite this

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title = "A Graph-based Dataset of Commit History of Real-World Android apps",

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.",

keywords = "Android, Mining Software Repositories, Dataset",

author = "Franz-Xaver Geiger and Ivano Malavolta and Luca Pascarella and Fabio Palomba and {Di Nucci}, Dario and Alberto Bacchelli",

note = "Accepted Author Manuscript; MSR 2018: 15th International Conference on Mining Software Repositories, MSR ; Conference date: 28-05-2018 Through 29-05-2018",

year = "2018",

language = "English",

isbn = "978-1-4503-5716-6",

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booktitle = "Proceedings of the 15th International Conference on Mining Software Repositories, MSR. ACM, New York, NY",

publisher = "ACM",

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}

Geiger, F-X, Malavolta, I, Pascarella, L, Palomba, F, Di Nucci, D & Bacchelli, A 2018, A Graph-based Dataset of Commit History of Real-World Android apps. in Proceedings of the 15th International Conference on Mining Software Repositories, MSR. ACM, New York, NY. ACM, New York, NY, pp. 30-33, MSR 2018: 15th International Conference on Mining Software Repositories, Gothenburg, Sweden, 28/05/18.

A Graph-based Dataset of Commit History of Real-World Android apps. / Geiger, Franz-Xaver; Malavolta, Ivano; Pascarella, Luca et al.
Proceedings of the 15th International Conference on Mining Software Repositories, MSR. ACM, New York, NY. New York, NY: ACM, 2018. p. 30-33.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Malavolta, Ivano

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AU - Bacchelli, Alberto

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AB - 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.

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KW - Mining Software Repositories

KW - Dataset

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M3 - Conference contribution

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EP - 33

BT - Proceedings of the 15th International Conference on Mining Software Repositories, MSR. ACM, New York, NY

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Y2 - 28 May 2018 through 29 May 2018

ER -

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

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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Cite this