带有概率词法分析器的GUI解析应用程序的可见下推语言

D. Lehavi, Omer Barkol, Sagi Schein
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引用次数: 1

摘要

自动理解GUI(图形用户界面)对于质量保证、用户监控、语音激活设备、用于应用程序可访问性的GUI自动生成和GUI设计等应用程序至关重要。同样,对可视化结构化文档(例如PDF文件)的自动理解对于数据挖掘的目的也是至关重要的。当前的GUI解析器有两个主要缺点:首先,它们没有表示用户体验,而是与GUI的底层对象模型紧密耦合。其次,从语言学的角度来看,它们要么过于严格,无法描述足够的gui,要么过于宽松,在这种情况下,语言结构本身变得非常脆弱。我们设计并实现了一种新的GUI解析语言,避免了这些问题。它易于维护,对输入的变化具有鲁棒性,最后-作为计算机程序-可确定且可快速解析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visibly Pushdown Languages for a GUI Parsing Application with Probabilistic Lexer
Automatic understanding of GUI (Graphic User Interfaces) is vitally important for applications such as quality assurance, user monitoring, speech activated devices, automatic generation of GUI for application accessibility, and GUI design. Likewise, automatic understanding of visually structured documents (e.g. PDF files) is vitally important for data mining purposes. Current GUI parsers share two major shortcomings: First, instead of representing the user experience, they are tightly coupled to the underlying object model of the GUI. Second, from a linguistic point of view, they are either too restrictive to describe enough GUIs, or too permissive, in which case, the language structure itself becomes very fragile. We designed and implemented a new GUI parsing language which avoids these problems. It is easy to maintain, robust to changes in the input, and finally - as a computer program - decidable and fast to parse.
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