Improving Web Application Reliability and Testing Using Accurate Usage Models

Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 722)

Abstract

With the prevalence of the World Wide Web and its increasing size and complexity, quality assurance (QA) and testing are becoming increasingly important for web applications. Markov operational profile (Markov OP) is a good candidate for effective web quality and reliability assurance because it captures the behavior of web components and related navigation facilities to support usage based statistical testing (UBST). The accuracy of such usage models would affect the effectiveness of quality assurance and testing activities. In this paper, we examine the impact of accurate usage models on reliability, test coverage, and test efficiency. A case study is carried out to quantify this impact. We found supporting evidence that accurate Markov OP improves reliability, test coverage, and test efficiency.

Keywords

Markov operational profile (OP) Web application Reliability Test coverage Test efficiency 

Notes

Acknowledgements

This work is supported in part by National Science Foundation (NSF) Grant #1126747 and NSF Net-Centric I/UCRC.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringSouthern Methodist UniversityDallasUSA
  2. 2.School of Computer ScienceNorthwestern Polytechnical UniversityXi’anChina

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