Research on Selenium Based Web System Automation Testing Framework
With the rapid development of the Internet,web system applications have the characteristics of fast iteration and high aggregation,making web side automated testing an important means to ensure software quality.This article is based on the research of Selenium's web system automation testing framework.In response to the problem of localization of elements in native Selenium methods,OCR technology is proposed to achieve the localization of special page elements,effectively improving the stability of the automation testing framework.Firstly,the technical characteristics of the Selenium framework were introduced;Next,the advantages of using the Python framework for use case writing,management,and execution were introduced.Finally,it explained how to build a web automation testing framework and use the mature and high-precision NetEase OCR model KAZE interface to encapsulate it in the Selenium API,adding page element positioning methods.The framework proposed in this article can provide an efficient and reliable automated testing solution for web developers and testers,improve testing efficiency and quality,and reduce testing costs and risks.
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