SCIENCE CHINA Information Sciences, Volume 63 , Issue 9 : 190105(2020) https://doi.org/10.1007/s11432-019-2860-3

A data-driven approach for recommending UI element layout

More info
  • ReceivedSep 19, 2019
  • AcceptedMar 20, 2020
  • PublishedAug 7, 2020


There is no abstract available for this article.


This work was supported by National Key RD Program of China (Grant No. 2018YFB- 1004800), National Natural Science Foundation of China (Grant No. 61672545), and Science and Technology Program of Guangzhou (Grant No. 201902010056).


[1] MacHiry A, Tahiliani R, Naik M. Dynodroid: an input generation system for Android apps. In: Proceedings of the 9th Joint Meeting on Foundations of Software Engineering, 2013. 224--234. Google Scholar

[2] Miller S R, Chang C C, Krantzler J, et al. Getting inspired: understanding how and why examples are used in creative design practice. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2009. 87--96. Google Scholar

[3] Chi P Y, Hu S P, Li Y. Doppio: tracking UI flows and code changes for app development. In: Proceedings of CHI Conference on Human Factors in Computing Systems, 2018. Google Scholar

[4] Reiss S P. Seeking the user interface. Autom Softw Eng, 2014, 25: 103--114. Google Scholar

[5] Kumar R, Satyanarayan A, Torres C, et al. Webzeitgeist: design mining the web. In: Proceedings of SIGCHI Conference on Human Factors in Computing Systems, 2013. 3083--3092. Google Scholar

[6] Deka B, Huang Z F, Chad F, et al. Rico: a mobile app dataset for building data-driven design applications. In: Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, 2017. 845--854. Google Scholar

[7] Chen X, Zou Q, Fan B. Recommending software features for mobile applications based on user interface comparison. Requirements Eng, 2019, 24: 545-559 CrossRef Google Scholar

[8] Theory of Edge Detection. Proc R Soc Lond B, 1980, 207: 187-217 CrossRef ADS Google Scholar