Document Based Matching Method for Mobile UI Components

Abstract

Abstract: Development for multi-platform is an important requirement of developing mobile applications.At the same time,the developments should be flexible for short cycle and rapid evolution.These are challenges for mobile developments.Fortunately,most mobile platforms are designed as MVC-based and event/UI-driven.Hence the UI components are similar between different platforms,which is very helpful when developing Apps from one platform to another.This paper provided a document based matching method for uncovering the similarities of UI components between different platforms.The iOS and Android are selected,and the documentations for their UI components are extracted from the official websites.Then the NLP techniques are used to build the vector space model so as to compute the similarities of UI components between two platforms.To increase the accuracy,the sets of synonymous words were presented according to the UI features of components.The experiments were performed on a set of typical iOS and Android UI components.The results illustrate that the accuracy of the method is acceptable for the most UI components especially for those of one-one-matching.

Key words: NLP,Mobile development,UI components

XU Tong-tong, LIU Qu-tao, ZHENG Xiao-mei, PAN Min-xue and ZHANG Tian. Document Based Matching Method for Mobile UI Components[J].Computer Science, 2017, 44(11): 98-103.

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