摘要
作为保证Web应用系统稳定性和可靠性的重要手段,Web负载测试逐渐成为软件开发生命周期中很重要的一个环节。然而,区别于传统的软件测试,Web应用系统的复杂性及其用户行为的不可预见性使得Web负载测试变得很困难。针对上述问题,提出一种Web使用频繁模式子树挖掘算法,从用户的访问日志中挖掘出频繁访问的Web页面,分析用户的行为特征,使得负载环境尽可能与真实世界接近。最后利用性能测试工具LoadRunner对实际项目案例进行负载测试,验证了该方法的有效性和实用性。
As an important means to guarantee stability and reliability of Web applications system,Web load testing is becoming a very important part in software development lifecycle. However,different from traditional software testing,Web load testing is very difficult because of the complexity and unpredictability of user behavior of Web applications. Against the above problems,a Web usage frequent pattern subtree ming algorithm is proposed. This method gets frequently visited Web pages from the user＇s access log,analyzes the behavior characteristics of the user and makes the test load environment close to the real world. Finally,the performance testing tool LoadRunner is used to conduct load test on an actual project and the result verifies the effectiveness and practicality of the method.
出处
《计算机与现代化》
2017年第2期73-77,共5页
Computer and Modernization
基金
国家863计划资助项目(2015AA043701)
