DATAR: A Dataset for Tracking App Releases
Android apps continuously evolve to meet user expectations and thrive in the competitive environment of app stores. Hence, making informed decisions is crucial for the success of upcoming releases. In recent years, researchers have sought to aid developers in release planning by studying, analyzing, and modeling evolutionary information derived from tracking releases of various apps. They have demonstrated how the types of information provided on different platforms can effectively predict and assess the quality or success of an app. Nevertheless, this field needs a comprehensive dataset containing evolutionary information that tracks various releases of open-source Android apps. Existing datasets lack release-level information, are not publicly available, or do not cover a wide range of up-to-date apps. This paper introduces a dataset comprising diverse metadata adapted from GitHub and Google Play, along with impactful metrics extracted from the source code of 8,049 published releases of 1,362 open-source Android apps.
Mon 15 AprDisplayed time zone: Lisbon change
16:00 - 17:30 | Mobile AppsData and Tool Showcase Track / Technical Papers at Almada Negreiros Chair(s): Dario Di Nucci University of Salerno | ||
16:00 12mTalk | Automating GUI-based Test Oracles for Mobile Apps Technical Papers Kesina Baral CQSE America, Jack Johnson , Junayed Mahmud George Mason University, Sabiha Salma George Mason University, Mattia Fazzini University of Minnesota, Julia Rubin University of British Columbia, Jeff Offutt George Mason University, Kevin Moran University of Central Florida | ||
16:12 12mTalk | Global Prosperity or Local Monopoly? Understanding the Geography of App Popularity Technical Papers Liu Wang Beijing University of Posts and Telecommunications, Conghui Zheng Beijing University of Posts and Telecommunications, Haoyu Wang Huazhong University of Science and Technology, Xiapu Luo The Hong Kong Polytechnic University, Gareth Tyson Queen Mary University of London, Yi Wang , Shangguang Wang Beijing University of Posts and Telecommunications | ||
16:24 12mTalk | GuiEvo: Automated Evolution of Mobile App UIs Technical Papers Sabiha Salma George Mason University, S M Hasan Mansur George Mason University, Yule Zhang George Mason University, Kevin Moran University of Central Florida | ||
16:36 12mTalk | Comparing Apples to Androids: Discovery, Retrieval, and Matching of iOS and Android Apps for Cross-Platform Analyses Technical Papers Magdalena Steinböck TU Wien, Jakob Bleier TU Wien, Mikka Rainer CISPA Helmholtz Center for Information Security, Tobias Urban Institute for Internet Security & secunet Security Networks AG, Christine Utz CISPA Helmholtz Center for Information Security, Martina Lindorfer TU Wien | ||
16:48 12mTalk | Keep Me Updated: An Empirical Study on Embedded Javascript Engines in Android Apps Technical Papers Elliott Wen The University of Auckland, Jiaxiang Liu The Hong Kong Polytechnic University, Xiapu Luo The Hong Kong Polytechnic University, Giovanni Russello University of Auckland, Jens Dietrich Victoria University of Wellington | ||
17:00 12mTalk | Large Language Model vs. Stack Overflow in Addressing Android Permission Related Challenges Technical Papers Sahrima Jannat Oishwee University of Saskatchewan, Natalia Stakhanova University of Saskatchewan, Zadia Codabux University of Saskatchewan, Canada | ||
17:12 4mTalk | DATAR: A Dataset for Tracking App Releases Data and Tool Showcase Track Yasaman Abedini Sharif University of Technology, Mohammad Hadi Hajihosseini Sharif University of Technology, Abbas Heydarnoori Bowling Green State University | ||
17:16 4mTalk | AndroZoo: A Retrospective with a Glimpse into the Future Data and Tool Showcase Track Marco Alecci University of Luxembourg, Pedro Jesús Ruiz Jiménez University of Luxembourg, Kevin Allix Independent Researcher, Tegawendé F. Bissyandé University of Luxembourg, Jacques Klein University of Luxembourg | ||