Automated Test Data Generation Using Fuzzy Logic-Genetic Algorithm Hybridization System for Class Testing Of Object Oriented Programming
In this paper, the authors have explained automatic test data generation particularly for class testing of object oriented programming. During test data generation they 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 they 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.