Journal
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
Volume 44, Issue 4, Pages 384-411Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TSE.2017.2685387
Keywords
Mobile apps; app store; user behavior analysis
Funding
- National Basic Research Program (973) of China [2014CB347701]
- Natural Science Foundation of China [61370020, 61421091, 61572051, 61528201, 61529201]
- National Science Foundation [CCF-1409423, CNS-1434582, CNS-1513939, CNS-1564274, IIS-1054199]
- MCubed grant at the University of Michigan
- Direct For Computer & Info Scie & Enginr
- Division of Computing and Communication Foundations [1409423] Funding Source: National Science Foundation
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1513939] Funding Source: National Science Foundation
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1054199] Funding Source: National Science Foundation
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The prevalence of smart mobile devices has promoted the popularity of mobile applications (a.k.a. apps). Supporting mobility has become a promising trend in software engineering research. This article presents an empirical study of behavioral service profiles collected from millions of users whose devices are deployed with Wandoujia, a leading Android app-store service in China. The dataset of Wandoujia service profiles consists of two kinds of user behavioral data from using 0.28 million free Android apps, including (1) app management activities (i.e., downloading, updating, and uninstalling apps) from over 17 million unique users and (2) app network usage from over 6 million unique users. We explore multiple aspects of such behavioral data and present patterns of app usage. Based on the findings as well as derived knowledge, we also suggest some new open opportunities and challenges that can be explored by the research community, including app development, deployment, delivery, revenue, etc.
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