Understanding Diverse Usage Patterns from Large-Scale Appstore-Service Profiles
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.
KeyWords
mobile apps, app store, user behavior analysis
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