Abstract
Websites entail some exclusively novel challenges in this era of software quality focus. This sequence of fresh issues associated exclusively with website applications can be considered as an opportunity as well as a greater challenge to have a complete automated testing of websites. Despite the continuous research in the web application testing domain, further work is needed to quantitatively analyze the testing results especially with respect to obtaining the statistics such as the efficiency and coverage of the test cases, value of test suite with respect to coverage and efficiency and distribution of the fault reasons. Using artificial intelligence techniques, a complete framework has been proposed to address the above mentioned challenges. This research effort presents the preliminary results of this effort. The proposed framework would provide the facilities to cover analyze web based on the web modeling, test case generation, test suite optimization and related tool development. This research effort is a part of framework project and tries to determine the effect of introduction of ‘value’ factor in evolutionary testing.
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Rauf, A., AlSalem, A.I. (2015). Intelligent Web Application Systems Testing through Value Based Test Case Prioritization. In: Selvaraj, H., Zydek, D., Chmaj, G. (eds) Progress in Systems Engineering. Advances in Intelligent Systems and Computing, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-319-08422-0_110
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