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Review Papers | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014
Survey Paper on Optimum Selection of Ga Algorithm's Parameters for Software Test Data Generation
Sonam Kamboj | Mohinder Singh [3]
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.
Keywords: Automatic test data generation, Artificial Bee Colony ABC Algorithm, Symbolic testing, Soft computing, Search Algorithm
Edition: Volume 3 Issue 6, June 2014,
Pages: 46 - 49
Similar Articles with Keyword 'Soft computing'
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Comparative Studies, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014
Pages: 761 - 765Comparative Study of Soft Computing Techniques on Medical Datasets
Mangesh Metkari | M.A. Pradhan
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M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014
Pages: 859 - 861Predictive Modeling of Clinical Data Using Random Forest Algorithm and Soft Computing
Sanika Shah | M. A. Pradhan