Automated Test Data Generation Using Fuzzy Logic-Genetic Algorithm Hybridization System for Class Testing of Object Oriented Programming
Swapan Kumar Mondal1, Hitesh Tahbildar2
1Swapan Kumar Mondal, Research Scholar, Department of CSE, University of Science and Technology, Meghalay, 9th Mile, Techno-city, Baridua, Ri-Bhoi, Meghalaya, India.
2Hitesh Tahbildar, working as HOD, Computer Engineering Department, Assam Engineering Institute, Govt of Assam. Guwahati, India
Manuscript received on October 28, 2013. | Revised Manuscript received on November 04, 2013. | Manuscript published on November 05, 2013. | PP: 40-49 | Volume-3 Issue-5, November 2013 . | Retrieval Number: E1871113513 /2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper we have explained automatic test data generation particularly for class testing of object oriented programming. During test data generation we have implemented the Genetic program – Fuzzy logic control auxiliary hybridization techniques. Some cases genetic algorithm has been used for optimized the desired results. As a future challenges we have made comments on the utilization of this new proposed technique. This proposed technique can be used for testing of industrial production oriented software. Production oriented software is use in Computer numerical control (C.N.C) machine.
Keywords: Binary tree, Fuzzy logic control (FLC), Genetic programming (GP), Genetic algorithm (GA), Mutation testing.