Southern Methodist University, Dallas, Texas, USA.

Abstract—In this paper, we present a risk-prioritized testing strategy aimed at accelerating defect discovery and reliability improvement for Web applications. This strategy is based on analyzing defect rate or density using Web logs and defect data from development activities to produce a prioritized list for testing. We empirically compare it against simulated coverage-based testing for five websites from diverse Web application domains, including academic, open source project, small business catalog showroom, large e-Commerce application, and social networking websites. The results from comparing their respective defect discovery profiles demonstrate the superiority of risk-prioritized testing in accelerating defect discovery and reliability improvement.

Index Terms—Defect and risk profiles, quality and reliability, testing, Web applications and logs

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Cite: Jeff Tian, "Accelerated Defect Discovery and Reliability Improvement through Risk-Prioritized Testing for Web Applications ," Journal of Software vol. 18, no. 3, pp. 159-171, 2023.

Copyright @ 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0)