Year: 2016
Type: article
Abstract: This paper presents a set of methods that uses a genetic algorithm for automatic test-data generation in software testing.For several years researchers have proposed several methods for generating test data which had different drawbacks.In this paper, we have presented various Genetic Algorithm (GA) based test methods which will be having different parameters to automate the structural-oriented test data generation on the basis of internal program structure.The factors discovered are used in evaluating the fitness function of Genetic algorithm for selecting the best possible Test method.These methods take the test populations as an input and then evaluate the test cases for that program.This integration will help in improving the overall performance of genetic algorithm in search space exploration and exploitation fields with better convergence rate.
Authors: Akshat Sharma, Rishon Patani, Ashish Aggarwal
Institution: Vellore Institute of Technology University
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Funder: VIT University
OpenAlex ID: W2372574494