Method of Graphical User Interface Adaptation Using Reinforcement Learning and Automated Testing

Victor Fyodorov, A. Karsakov
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Abstract

Abstract—Graphical user interface adaptation becomes an increasingly time-consuming and resource-intensive task due to modern programs complexity and a big variety of information output devices. In this paper we propose a method for adapting a graphical user interface based on a person's workflow using a specific implementation of the interface. This method makes it possible to adapt the interface to the peculiarities of the user's workflow through optimization in the navigation area between program windows.
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使用强化学习和自动化测试的图形用户界面适应方法
摘要:由于现代程序的复杂性和信息输出设备的多样性,图形用户界面适配成为一项越来越耗时和资源密集的任务。在本文中,我们提出了一种方法来适应图形用户界面基于一个人的工作流程,使用接口的特定实现。该方法通过优化程序窗口之间的导航区域,使界面适应用户工作流程的特点成为可能。
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