基于Selenium与SVM的Web自动化测试方法  

Research on Web Automation Test Method Based on Selenium and SVM

作　　者：张曦煌 蔡晶晶 柴志雷 奚智雯 ZHANG Xi-huang;CAI Jing-jing;CHAI Zhi-lei;XI Zhi-wen(School of Artificial Intelligence and Computer,Jiangnan University,Wuxi 214215,China;School of Intelligent Equipment,Wuxi Taihu University,Wuxi 214064,China;Jiangsu Pattern Recognition and Computational Intelligence Engineering Laborato-ry,Jiangnan University,Wuxi 214215,China)

机构地区：[1]江南大学人工智能与计算机学院,江苏无锡214215 [2]无锡太湖学院智能装备学院,江苏无锡214064 [3]江南大学江苏省模式识别与计算智能工程实验室,江苏无锡214215

出　　处：《软件导刊》2023年第1期171-175,共5页Software Guide

基　　金：国家自然科学基金项目(61972180)。

摘　　要：为满足频繁迭代的企业级Web应用的测试需求,提出一种基于SVM的Web自动化测试方法。该方法基于Selenium框架构建数据获取层、机器学习层、用例执行层3层架构,并以FPGA公有云平台的Web应用为研究对象对其前端页面功能进行自动化测试。实验结果表明,该系统能识别前端页面上Web元素所对应的测试用例,并且能够为新页面的Web元素选择适当的测试用例,预测准确率达到96.71%。所提方法对现有Web自动化测试方法具有一定的参考与借鉴意义。In order to meet the testing requirements of enterprise Web applications with frequent iterations,a Web automated testing method based on SVM is proposed.Based on selenium framework,this method builds a three-tier architecture of data acquisition layer,machine learning layer and use case execution layer,and takes the Web application of FPGA public cloud platform as the research object to automatically test its front-end page function.The experimental results show that the system can identify the test cases corresponding to the Web elements on the front-end page,and can select the appropriate test cases for the web elements of the new page,and the prediction accuracy is 96.71%.The proposed method has certain reference and reference significance for the existing web automated testing methods.

关 键 词：Web自动化测试 SVM Selenium框架 FPGA公有云平台 

分 类 号：TP311.53[自动化与计算机技术—计算机软件与理论]