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DOI: 10.14569/IJACSA.2016.070131
PDF

Assessment and Comparison of Fuzzy Based Test Suite Prioritization Method for GUI Based Software

Author 1: Neha Chaudhary
Author 2: O.P. Sangwan

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 1, 2016.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: The testing of event driven software has significant role to improve overall quality of software. Due to event driven nature of GUI based software many test cases are generated and it is difficult to identify test cases whose fault revealing capability is high. To identify those test cases test suite prioritization is done. Various test suite prioritization methods exists for GUI based software in literature. Prioritization methods improve the rate of fault detection. In our previous work we have proposed a fuzzy model for test suite prioritization of GUI based software. In this method priority is assigned on the basis of multiple factors using fuzzy model. These factors are: The type of event, Event Interaction, and Parameter-value interaction coverage-based criteria. Using this method a test oracle will be organized in the descending order of its effectiveness. In this paper we are evaluating the proposed fuzzy model and comparing results with other prioritization methods.

Keywords: Test suite prioritization; Fuzzy Model; Comparison of prioritization methods

Neha Chaudhary and O.P. Sangwan, “Assessment and Comparison of Fuzzy Based Test Suite Prioritization Method for GUI Based Software” International Journal of Advanced Computer Science and Applications(IJACSA), 7(1), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070131

@article{Chaudhary2016,
title = {Assessment and Comparison of Fuzzy Based Test Suite Prioritization Method for GUI Based Software},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070131},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070131},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {1},
author = {Neha Chaudhary and O.P. Sangwan}
}



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.

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