基于视觉反馈的智能软件测试

Xinyue Wu, Hong Zhang, Tao Shi, Congran Zhang, Liang Yan
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引用次数: 0

摘要

GUI测试是保证GUI软件质量的重要手段。传统的GUI测试方法往往依赖于API,使用范围有限。计算机视觉技术的引入提供了一种全新的选择,基于图形用户界面元素的图像识别。它可以帮助建立视觉反馈机制,以获得更多关于目标系统的信息,并控制测试过程。在此背景下,本文研究了基于视觉反馈的智能软件测试,设计并构建了感知层、驱动层、反馈层三层测试框架。本项目的研究成果可以为智能GUI测试提供技术支持,结构清晰的框架为后续研究提供了参考,具有一定的实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Software Testing based on Visual Feedback
GUI testing is an important means to ensure the quality of GUI software. Traditional GUI testing methods often rely on API and have limited scope of use. The introduction of computer vision technology provides a brand-new alternative, based on the image recognition of GUI elements. It can help build visual feedback mechanism to get more information about the target system and control the testing process. In this context, this paper studies intelligent software testing based on visual feedback, designs and builds a three-layer testing framework including perception layer, driver layer, and feedback layer. The results of this project can provide technical support for intelligent GUI testing, and the clear-structured framework provides a reference for subsequent research and has certain practical value.
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