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Tuya J, Blanco R, Dolado J. J, Diaz E, “A tabu search algo for structural software testing,” Computers and Operations Research, 2008.

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Article

Test Data Generation Using Computational Intelligence Technique

1Department of Computer Science, Jamia Hamdard, Delhi, India

2Department of Computer Science, YMCAUST, Faridabad, India

3M.Tech Scholar, CSE Department, DITMR, Faridabad, India


Journal of Computer Sciences and Applications. 2015, Vol. 3 No. 2, 56-60
DOI: 10.12691/jcsa-3-2-7
Copyright © 2015 Science and Education Publishing

Cite this paper:
Harsh Bhasin, Naresh Chauhan, Sandhya Pathak. Test Data Generation Using Computational Intelligence Technique. Journal of Computer Sciences and Applications. 2015; 3(2):56-60. doi: 10.12691/jcsa-3-2-7.

Correspondence to: Harsh  Bhasin, Department of Computer Science, Jamia Hamdard, Delhi, India. Email: i_harsh_bhasin@yahoo.com

Abstract

Testing is one of the most important parts of Software Development Life Cycle. It requires the crafting of a good test. This crafting can be done only after deep analysis and knowhow of the working of the software. This work presents the Genetic Algorithm based approach for the generation of test data. The approach would automate the test data generation process and hence facilitates the process of testing. The work would also help in the elimination of human biases. The work has been implemented in C#, verified with a set of 10 moderate size software. The results are encouraging. The work is part of a larger endeavor to develop a comprehensive testing system for C #software. This work is based on a comprehensive literature review which has helped develop a sound theoretical base.

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