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Data Driven User Feature Construction and Requirement Generation in Mobile Applications by Yuanbang Li; Kai Wang; Xiaoyu Guo; Zhongyuan Hua; Yong Xiao is a scholarly article available to read on EtoBox.

What is Data Driven User Feature Construction and Requirement Generation in Mobile Applications about?

Mobile applications have been widely used in people's daily life, and lots of data is generated in use of these mobile applications. These data including various context elements and contains rich user information. How to construct user features and discover user requirements from these data is vital for developer to improve the mobile application and providing smartly service for users. Therefore, a user feature construction and requirements generation method is proposed in this study. The main constructions of the study including three parts. Firstly, a time smoothing strategy is proposed to assist the generation of users' time-related features. Secondly, a fuzzy logic based method is proposed to generate user requirements. Thirdly, a tool is developed to automate and standardize the method. Finally, an experiment is conducted, and the results show the method is effective.

Author

Yuanbang Li; Kai Wang; Xiaoyu Guo; Zhongyuan Hua; Yong Xiao

Publisher

IEEE

Published

2022

Language

EN