TY - GEN
T1 - Mining usage data from large-scale android users
T2 - IEEE/ACM International Conference on Mobile Software Engineering and Systems, MobileSoft 2016
AU - Lu, Xuan
AU - Liu, Xuanzhe
AU - Li, Huoran
AU - Xie, Tao
AU - Mei, Qiaozhu
AU - Hao, Dan
AU - Huang, Gang
AU - Feng, Feng
N1 - Funding Information:
This work was supported by the High-Tech Research and Development Program of China under Grant No.2015AA01A202, the Natural Science Foundation of China (Grant No. 61370020, 61421091, 61572051, 61528201). Tao Xie's work was supported in part by National Science Foundation under grants no. CCF- 1349666, CCF-1409423, CNS-1434582, CCF-1434596, and CNS- 1513939, and a Google Faculty Research Award. Qiaozhu Mei's work was supported in part by the National Science Foundation under grant No. IIS-1054199.
Publisher Copyright:
© 2016 Copyright held by the owner/author(s).
PY - 2016/5/14
Y1 - 2016/5/14
N2 - Mining usage data from a large number of Android users can assist various software engineering tasks. In collaboration with Wandoujia, a leading Android app marketplace in China, we have conducted a large empirical analysis based on mining app usage behaviors collected from millions of Android users. Our empirical findings can provide implications, challenges, and opportunities to app-centric software development, deployment, and maintenance.
AB - Mining usage data from a large number of Android users can assist various software engineering tasks. In collaboration with Wandoujia, a leading Android app marketplace in China, we have conducted a large empirical analysis based on mining app usage behaviors collected from millions of Android users. Our empirical findings can provide implications, challenges, and opportunities to app-centric software development, deployment, and maintenance.
KW - Mobile apps
KW - User behavior analysis
UR - http://www.scopus.com/inward/record.url?scp=84983502975&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84983502975&partnerID=8YFLogxK
U2 - 10.1145/2897073.2897721
DO - 10.1145/2897073.2897721
M3 - Conference contribution
AN - SCOPUS:84983502975
T3 - Proceedings - International Conference on Mobile Software Engineering and Systems, MOBILESoft 2016
SP - 301
EP - 302
BT - Proceedings - International Conference on Mobile Software Engineering and Systems, MOBILESoft 2016
PB - Association for Computing Machinery
Y2 - 16 May 2016 through 17 May 2016
ER -