Title: Mining usage profile to improve web performance testing

Authors: Junwen Zhang; Qunqun Xue; Dalin Zhang

Addresses: Department of Computer and Information Technology, Beijing Jiaotong University, 100044, Beijing, China ' Department of Computer and Information Technology, Beijing Jiaotong University, 100044, Beijing, China ' National Research Center of Railway Safety Assessment, Beijing Jiaotong University, 100044, Beijing, China

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.

Keywords: web performance testing; data mining; usage profile; performance testing model; occurrence probability.

DOI: 10.1504/IJSOI.2018.094653

International Journal of Services Operations and Informatics, 2018 Vol.9 No.3, pp.189 - 206

Received: 29 May 2017
Accepted: 04 Mar 2018
Published online: 11 Sep 2018 *

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