Title: Automatic recommendation of user interface examples for mobile app development

Authors: Xiaohong Shi; Xiangping Chen; Yongsheng Rao; Kaiyuan Li; Zhensheng Xu; Jingzhong Zhang

Addresses: School of Mathematics and Information Science, Guangzhou University, Guangzhou 510006, China ' Guangdong Key Laboratory for Big Data Analysis and Simulation of Public Opinion, School of Communication and Design, Sun Yat-sen University, Guangzhou 510006, China ' Institute of Computing Science and Technology, Guangzhou University, Guangzhou 510006, China ' National Engineering Research Center of Digital Life, Sun Yat-sen University, Guangzhou 510006, China ' National Engineering Research Center of Digital Life, Sun Yat-sen University, Guangzhou 510006, China ' Institute of Computing Science and Technology, Guangzhou University, Guangzhou 510006, China

Abstract: It is an efficient development practice for user interface (UI) developers to exploit some examples for their reference. We propose an approach for automatic recommendation of UI examples for mobile app development. We first introduce a search engine for UI components of mobile applications based on their descriptions, graphical views and source code. From the search results, an algorithm, density-based clustering with maximum intra-cluster distance (DBCMID), is proposed to automatically recommend examples. The comparison between the recommended examples using our approach and existing summarised examples shows that for 83.33% summarised examples, there are completely/partly matched examples in our recommended results. In addition, 39 new valuable examples are found based on the search results of six queries.

Keywords: user interface search; user interface development; example recommendation.

DOI: 10.1504/IJCSE.2020.110548

International Journal of Computational Science and Engineering, 2020 Vol.23 No.2, pp.194 - 204

Received: 19 Mar 2020
Accepted: 06 Apr 2020

Published online: 23 Oct 2020 *

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