AndroZooOpen: Collecting Large-scale Open Source Android Apps for the Research Community

被引：24
|
作者：
Liu, Pei [1 ]
Li, Li [1 ]
Zhao, Yanjie [1 ]
Sun, Xiaoyu [1 ]
Grundy, John [1 ]
机构：
[1] Monash Univ, Fac Informat Technol, Melbourne, Australia
来源：
2020 IEEE/ACM 17TH INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES, MSR | 2020年
基金：
澳大利亚研究理事会;
关键词：
Android; Open-source; AndroZoo; AndroZooOpen;
D O I：
10.1145/3379597.3387503
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
It is critical for research to have an open, well-curated, representative set of apps for analysis. We present a collection of open-source Android apps collected from several sources, including Github. Our dataset, AndroZooOpen, currently contains over 45,000 app artefacts, a representative picture of Github-hosted Android apps. For apps released on Google Play, metadata including categories, ratings and user reviews, are also stored. We share this new dataset as part of our ongoing research to better support and enable new research topics involving Android app artefact analysis, and as a supplement dataset for AndroZoo, a well-known app collection of close-sourced Android apps.
引用
收藏
页码：548 / 552
页数：5
相关论文
共 50 条
  • [1] Test Automation in Open-Source Android Apps: A Large-Scale Empirical Study
    Lin, Jun-Wei
    Salehnamadi, Navid
    Malek, Sam
    2020 35TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE 2020), 2020, : 1078 - 1089
  • [2] AndroZoo: Collecting Millions of Android Apps for the Research Community
    Allix, Kevin
    Bissyande, Tegawende F.
    Klein, Jacques
    Le Traon, Yves
    13TH WORKING CONFERENCE ON MINING SOFTWARE REPOSITORIES (MSR 2016), 2016, : 468 - 471
  • [3] Large-Scale Analysis of Remote Code Injection Attacks in Android Apps
    Choi, Hyunwoo
    Kim, Yongdae
    SECURITY AND COMMUNICATION NETWORKS, 2018,
  • [4] Large-Scale Analysis of Framework-Specific Exceptions in Android Apps
    Fan, Lingling
    Su, Ting
    Chen, Sen
    Meng, Guozhu
    Liu, Yang
    Xu, Lihua
    Pu, Geguang
    Su, Zhendong
    PROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE), 2018, : 408 - 419
  • [5] Testing of Mobile Applications in the Wild: A Large-Scale Empirical Study on Android Apps
    Pecorelli, Fabiano
    Catolino, Gemma
    Ferrucci, Filomena
    De Lucia, Andrea
    Palomba, Fabio
    2020 IEEE/ACM 28TH INTERNATIONAL CONFERENCE ON PROGRAM COMPREHENSION, ICPC, 2020, : 296 - 307
  • [6] A large-scale exploratory study of android sports apps in the google play store
    Chembakottu, Bhagya
    Li, Heng
    Khomh, Foutse
    INFORMATION AND SOFTWARE TECHNOLOGY, 2023, 164
  • [7] MUBot: Learning to Test Large-Scale Commercial Android Apps like a Human
    Peng, Chao
    Zhang, Zhao
    Lv, Zhengwei
    Yang, Ping
    2022 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME 2022), 2022, : 543 - 552
  • [8] A Large-Scale Longitudinal Analysis of Missing Label Accessibility Failures in Android Apps
    Fok, Raymond
    Zhong, Mingyuan
    Ross, Anne Spencer
    Fogarty, James
    Wobbrock, Jacob O.
    PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22), 2022,
  • [9] PRADA: Prioritizing Android Devices for Apps by Mining Large-Scale Usage Data
    Lu, Xuan
    Liu, Xuanzhe
    Li, Huoran
    Xie, Tao
    Mei, Qiaozhu
    Hao, Dan
    Huang, Gang
    Feng, Feng
    2016 IEEE/ACM 38TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE), 2016, : 3 - 13
  • [10] Open source tools for large-scale neuroscience
    Freeman, Jeremy
    CURRENT OPINION IN NEUROBIOLOGY, 2015, 32 : 156 - 163
12345