Mining usage profile to improve web performance testing

Q3 Business, Management and Accounting International Journal of Services Operations and Informatics Pub Date : 2018-09-13 DOI:10.1504/IJSOI.2018.10015974
Junwen Zhang, Qunqun Xue, Dalin Zhang
{"title":"Mining usage profile to improve web performance testing","authors":"Junwen Zhang, Qunqun Xue, Dalin Zhang","doi":"10.1504/IJSOI.2018.10015974","DOIUrl":null,"url":null,"abstract":"Testing is an important means to ensure the high-quality, high-performance and high-reliability of web application system. This paper focuses on how to improve the testing performance by using usage profile generation method. First, apply the web mining technology to performance test, proposes usage profile generation method based on historical data mining, include the log file preprocessing, presents a frequent access pattern tree generation algorithm to dig out user's frequent access pattern, analyses user behaviour characteristics, and constructs user usage profile approximate to the real usage. Then applied the usage profile into the performance test design stage, and guide test scenarios; Finally, by comparison experiments to verify that the proposed usage profile can effectively guide the process of test design, and can improve the accuracy of performance test results.","PeriodicalId":35046,"journal":{"name":"International Journal of Services Operations and Informatics","volume":"9 1","pages":"189"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Services Operations and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJSOI.2018.10015974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 0

Abstract

Testing is an important means to ensure the high-quality, high-performance and high-reliability of web application system. This paper focuses on how to improve the testing performance by using usage profile generation method. First, apply the web mining technology to performance test, proposes usage profile generation method based on historical data mining, include the log file preprocessing, presents a frequent access pattern tree generation algorithm to dig out user's frequent access pattern, analyses user behaviour characteristics, and constructs user usage profile approximate to the real usage. Then applied the usage profile into the performance test design stage, and guide test scenarios; Finally, by comparison experiments to verify that the proposed usage profile can effectively guide the process of test design, and can improve the accuracy of performance test results.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
挖掘使用配置文件以改进web性能测试
测试是保证web应用系统高质量、高性能、高可靠性的重要手段。本文主要研究如何通过使用配置文件生成方法来提高测试性能。首先,将web挖掘技术应用于性能测试,提出了基于历史数据挖掘的用户使用档案生成方法,包括日志文件的预处理,提出了一种频繁访问模式树生成算法来挖掘用户的频繁访问模式,分析用户行为特征,构建出接近真实使用情况的用户使用资料。然后将使用概况应用到性能测试设计阶段,并指导测试场景;最后,通过对比实验验证了所提出的使用概况能够有效地指导测试设计过程,并能够提高性能测试结果的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal of Services Operations and Informatics
International Journal of Services Operations and Informatics Business, Management and Accounting-Management Information Systems
CiteScore
1.60
自引率
0.00%
发文量
9
期刊介绍: The advances in distributed computing and networks make it possible to link people, heterogeneous service providers and physically isolated services efficiently and cost-effectively. As the economic dynamics and the complexity of service operations continue to increase, it becomes a critical challenge to leverage information technology in achieving world-class quality and productivity in the production and delivery of physical goods and services. The IJSOI, a fully refereed journal, provides the primary forum for both academic and industry researchers and practitioners to propose and foster discussion on state-of-the-art research and development in the areas of service operations and the role of informatics towards improving their efficiency and competitiveness.
期刊最新文献
Modeling Customer Experience in Digital Services Extending and demonstrating an engineering communication framework utilising the digital twin concept in a context of factory layouts Interactive eWOM, consumer engagement, loyalty, eWOM sharing, and purchase behavior nexus: An integrated framework for tourism and hospitality industry Neuromarketing and e-commerce: analysis of Over the Top platform homepages News Classification using Text Data Generators and Convolutional Neural Network (CNN)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1