基于图像识别的自动化测试技术研究

2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) Pub Date : 2019-09-01 DOI:10.1109/ICVRIS.2019.00018

Junmei Wang, Jihong Wu

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引用次数: 2

摘要

针对如何利用图形界面高效地对软件进行验证，避免繁琐的重复工作以节省时间和降低成本的问题，提出了一种基于图像识别的自动化测试设计方法。基于图像识别的自动化测试可以有效地验证页面元素的外观和元素之间的相对位置，可以直接支持在各种操作系统下的软件测试。在长时间的连续测试中，基于图像识别的自动化测试比基于识别被测软件对象的自动化测试更可靠。此外，它对测试人员的编程能力没有特殊的要求。实验结果表明，本文提出的基于图像识别测试的自动化测试方法在软件测试中具有独特的优势，可以有效地以图形化界面对软件进行验证，提高测试人员的工作效率，节省成本，加快软件开发和版本的迭代。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on Automation Testing Technology Based on Image Recognition

Aiming at the problems of how to efficiently validate the software with graphical interface and avoid tedious duplication of work to save time and reduce costs, a design method of the automation testing based on image recognition is proposed. The automation testing based on image recognition can verify the appearance of page elements and the relative positions between elements effectively and can directly support the software testing in various operating systems. In the long time continuous testing, the automation testing based on image recognition is more reliable comparing with the automation testing based on identifying the object of the software under test. What's more, it has no special requirement for testers' programming ability. The experimental results show that the proposed method of automation testing based on image recognition testing has its unique advantages in software testing, which can effectively verify the software with graphical interface, improve testers' work efficiency and save costs to accelerate the iteration of software development and version.

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来源期刊

2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)

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