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Analysis of OCR Design and Implementation for GUI Modeling

机译:GUI建模的OCR设计与实现分析

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Many efforts have been taken to achieve automated Graphical User Interface (GUI) testing. The most popular way is model-based testing, which supports automated test case generation and execution. But building such a model is a nontrivial task, which usually costs the most work-load in the entire testing process. Most of the approaches about automated model deriving are dependant on the programming language or specific OS. In this paper, we proposed a new approach of GUI modeling using Optical Character Recognition (OCR), and technical poblems encountered have been analyzed in deatail. Case study shows that our approach is capable of analyzing most of the GUI windows, and generating corresponding model and hence eliminates the above constraint.
机译:已经采取了许多努力来实现自动化图形用户界面(GUI)测试。最受欢迎的方式是基于模型的测试,支持自动测试案例生成和执行。但建立这种模型是一个非活动任务,通常成本在整个测试过程中成本最多的工作负载。关于自动模型导出的大多数方法都取决于编程语言或特定操作系统。在本文中,我们提出了一种使用光学字符识别(OCR)的GUI建模的新方法,并在Deatail中分析了遇到的技术律法。案例研究表明,我们的方法能够分析大多数GUI Windows,并生成相应的模型,因此消除了上述约束。

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