TY - JOUR
T1 - Understanding Diverse Usage Patterns from Large-Scale Appstore-Service Profiles
AU - Liu, Xuanzhe
AU - Li, Huoran
AU - Lu, Xuan
AU - Xie, Tao
AU - Mei, Qiaozhu
AU - Feng, Feng
AU - Mei, Hong
N1 - Funding Information:
This work was supported by the National Basic Research Program (973) of China under Grant No. 2014CB347701, the Natural Science Foundation of China (Grant No. 61370020, 61421091, 61572051, 61528201, 61529201). Tao Xie's work was supported in part by National Science Foundation under grants no. CCF-1409423, CNS-1434582, CNS-1513939, CNS-1564274. Qiaozhu Mei's work was supported in part by the National Science Foundation under grant no. IIS-1054199 and an MCubed grant at the University of Michigan.
Funding Information:
This work was supported by the National Basic Research Program (973) of China under Grant No. 2014CB347701, the Natural Science Foundation of China (Grant No. 61370020, 61421091, 61572051, 61528201, 61529201). Tao Xie’s work was supported in part by National Science Foundation under grants no. CCF-1409423, CNS-1434582, CNS-1513939, CNS-1564274. Qiaozhu Mei’s work was supported in part by the National Science Foundation under grant no. IIS-1054199 and an MCubed grant at the University of Michigan. Xuanzhe Liu is the corresponding author of this work.
Publisher Copyright:
© 1976-2012 IEEE.
PY - 2018/4/1
Y1 - 2018/4/1
N2 - 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.
AB - 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.
KW - Mobile apps
KW - app store
KW - user behavior analysis
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U2 - 10.1109/TSE.2017.2685387
DO - 10.1109/TSE.2017.2685387
M3 - Article
AN - SCOPUS:85046013949
VL - 44
SP - 384
EP - 411
JO - IEEE Transactions on Software Engineering
JF - IEEE Transactions on Software Engineering
SN - 0098-5589
IS - 4
ER -