eng Science and Education Publishing Journal of Computer Sciences and Applications 2328-725X 2015-04-24 3 2 56 60 10.12691/jcsa-3-2-7 JCSA2015327 article Harsh Bhasin i_harsh_bhasin@yahoo.com 1 Naresh Chauhan 2 Sandhya Pathak 3 Department of Computer Science, Jamia Hamdard, Delhi, India Department of Computer Science, YMCAUST, Faridabad, India M.Tech Scholar, CSE Department, DITMR, Faridabad, India 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. http://pubs.sciepub.com/jcsa/3/2/7/jcsa-3-2-7.pdf genetic algorithms software testing test data generation branch coverage