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Automated Cross-Platform GUI Code Generation for Mobile Apps

  • Sen Chen
  • , Lingling Fan
  • , Ting Su
  • , Lei Ma
  • , Yang Liu
  • , Lihua Xu
  • Nanyang Technological University
  • Harbin Institute of Technology
  • NYU-ECNU Center for Computational Chemistry at NYU Shanghai

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Android and iOS are the two dominant platforms for building mobile apps. To provide uniform and smooth user experience, app companies typically employ two teams of programmers to develop UIs (and underlying functionalities) for these two platforms, respectively. However, this development practice is costly for both development and maintenance. To reduce the cost, we take the first step in this direction by proposing an automated cross-platform GUI code generation framework. It can transfer the GUI code implementation between the two mobile platforms. Specifically, our framework takes as input the UI pages and outputs the GUI code for the target platform (e.g., Android or iOS). It contains three phases, i.e., component identification, component type mapping, and GUI code generation. It leverages image processing and deep learning classification techniques. Apart from the UI pages of an app, this framework does not require any other inputs, which makes it possible for large-scale, platform -independent code generation.

源语言英语
主期刊名AI4Mobile 2019 - 2019 IEEE 1st International Workshop on Artificial Intelligence for Mobile
编辑Yang Liu, Minhui Xue, Lei Ma, Li Li
出版商Institute of Electrical and Electronics Engineers Inc.
13-16
页数4
ISBN(电子版)9781728118116
DOI
出版状态已出版 - 21 3月 2019
已对外发布
活动1st IEEE International Workshop on Artificial Intelligence for Mobile, AI4Mobile 2019 - Hangzhou, 中国
期限: 24 2月 2019 → …

出版系列

姓名AI4Mobile 2019 - 2019 IEEE 1st International Workshop on Artificial Intelligence for Mobile

会议

会议1st IEEE International Workshop on Artificial Intelligence for Mobile, AI4Mobile 2019
国家/地区中国
Hangzhou
时期24/02/19 → …

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