Method for Predicting Mobile Service Evolution from User Reviews and Update Logs
暂无分享,去创建一个
Xiaofei Xu | Zhiying Tu | Zhongjie Wang | Jiafei Song | Xiaofei Xu | Zhiying Tu | Zhongjie Wang | Jiafei Song
[1] Ahmed E. Hassan,et al. Fresh apps: an empirical study of frequently-updated mobile apps in the Google play store , 2015, Empirical Software Engineering.
[2] Li Zhang,et al. CSLabel: An Approach for Labelling Mobile App Reviews , 2017, Journal of Computer Science and Technology.
[3] Gabriele Bavota,et al. The Impact of API Change- and Fault-Proneness on the User Ratings of Android Apps , 2015, IEEE Transactions on Software Engineering.
[4] Xuanzhe Liu,et al. Understanding Diverse Usage Patterns from Large-Scale Appstore-Service Profiles , 2017, IEEE Transactions on Software Engineering.
[5] Alain Abran,et al. A systematic literature review: Opinion mining studies from mobile app store user reviews , 2017, J. Syst. Softw..
[6] Ahmed E. Hassan,et al. Analyzing and automatically labelling the types of user issues that are raised in mobile app reviews , 2015, Empirical Software Engineering.
[7] Quan Z. Sheng,et al. App Update Patterns: How Developers Act on User Reviews in Mobile App Stores , 2017, ICSOC.
[8] Gunwoong Lee,et al. Determinants of Mobile Apps' Success: Evidence from the App Store Market , 2014, J. Manag. Inf. Syst..
[9] Ahmed E. Hassan,et al. User reviews of top mobile apps in Apple and Google app stores , 2017, CACM.