Xuan Lu
Xuanzhe Liu
Tao Xie
ABSTRACT
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.
- H. Li, X. Lu, X. Liu, T. Xie, K. Bian, F. X. Lin, Q. Mei, and F. Feng. Characterizing smartphone usage patterns from millions of Android users. In Proceedings of the ACM SIGCOMM Conference on Internet Measurement, IMC 15, pages 459--472, 2015. Google Scholar
Digital Library
- X. Lu, X. Liu, H. Li, T. Xie, Q. Mei, D. Hao, G. Huang, and F. Feng. PRADA: Prioritizing android devices for apps by mining large-scale usage data. In Proceedings of the International Conference on Software Engineering, ICSE 16, 2016. Google ScholarDigital Library
Index Terms
- Mining usage data from large-scale Android users: challenges and opportunities
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