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.
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Acknowledgements
This work is supported in part by National Science Foundation (NSF) Grant #1126747 and NSF Net-Centric I/UCRC.
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Karami, G., Tian, J. (2018). Improving Web Application Reliability and Testing Using Accurate Usage Models. In: Lee, R. (eds) Software Engineering Research, Management and Applications. SERA 2017. Studies in Computational Intelligence, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-61388-8_5
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DOI: https://doi.org/10.1007/978-3-319-61388-8_5
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