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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 12, 2012.
Abstract: Testing of GUI (Graphical User Interface) applications has many challenges due to its event driven nature and infinite input domain. It is very difficult for any programmer to test for each and every possible input. When test cases are generated using automated testing tool it uses each and every possible combination to generate test cases hence generates numerous number of test case for any GUI based application. Within a defined time frame it is not possible to test every test case, that is why test cases prioritization is required. Test-case prioritization has been widely proposed and used in recent years as it can improve the rate of fault detection during the testing phase. Very few methods are defined for GUI Test case prioritization that usually consider single criteria for assigning priority for the test case which is not sufficient for the consideration of that test case as more fault revealing. In this paper we have proposed a method for assigning weight value on the basis of multiple factors as one of the criteria for test case prioritization for GUI based software. These factors are: The type of event, Event Interaction, and Parameter-value interaction coverage-based criteria. In the proposed approach priority is assigned based upon these factors using fuzzy logic model. Experimental results indicate that the proposed model is suitable for prioritizing the test cases of GUI based software.
Neha Chaudhary, Om Prakash Sangwan and Yogesh Singh, “Test Case PrioritizationUsing Fuzzy Logic for GUI based Software” International Journal of Advanced Computer Science and Applications(IJACSA), 3(12), 2012. http://dx.doi.org/10.14569/IJACSA.2012.031237
@article{Chaudhary2012,
title = {Test Case PrioritizationUsing Fuzzy Logic for GUI based Software},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.031237},
url = {http://dx.doi.org/10.14569/IJACSA.2012.031237},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {12},
author = {Neha Chaudhary and Om Prakash Sangwan and Yogesh Singh}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.