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	Mining Usage Data from Large-Scale Android Users: Challenges and Opportunities
	Lu, Xuan ; Liu, Xuanzhe ; Li, Huoran ; Xie, Tao ; Mei, Qiaozhu ; Hao, Dan ; Huang, Gang ; Feng, Feng
	2016
关键词	Mobile apps user behavior analysis
英文摘要	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.; High-Tech Research and Development Program of China [2015AA01A202]; Natural Science Foundation of China [61370020, 61421091, 61572051, 61528201]; National Science Foundation [CCF-1349666, CCF-1409423, CNS-1434582, CCF-1434596, CNS-1513939, IIS-1054199]; Google Faculty Research Award; EI; CPCI-S(ISTP); 301-302
语种	英语
出处	IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft)
DOI标识	10.1145/2897073.2897721
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/449501]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Lu, Xuan,Liu, Xuanzhe,Li, Huoran,et al. Mining Usage Data from Large-Scale Android Users: Challenges and Opportunities. 2016-01-01.

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