A Hybrid PSO Approach to Automate Test Data Generation for Data Flow Coverage with Dominance Concepts

Abstract

This paper presents a technique that based on a combination of genetic algorithm (GA) and particle swarm optimization (PSO), and is thus called GPSCA (Genetic-Particle Swarm Combined Algorithm) which is used to generate automatic test data for data flow coverage with using dominance concept between two nodes. The performance of the proposed approach is… (More)

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