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Survey Paper on Optimum Selection of Ga Algorithm’s Parameters for Software Test Data Generation
Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 6)Publication Date: 2014-06-15
Authors : Sonam Kamboj; Mohinder Singh;
Page : 46-49
Keywords : Automatic test data generation; Artificial Bee Colony (ABC) Algorithm; Symbolic testing; Soft computing; Search Algorithm;
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Abstract
"This paper empirically evaluates four metaheuristic search techniques namely Genetic Algorithm, artificial bee colony and Bing Bang Big Crunch Algorithm for automatic test data generation for procedure oriented programs using structural symbolic testing method. Test data is generated for each feasible path of the programs.
All the four algorithms have been evaluated on average percentage coverage per path."
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Last modified: 2014-06-20 16:01:07