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Automatic test data generation approach using Swine Influenza Models Based Optimization (SIMBO) with dominance concepts

机译:使用具有优势概念的基于猪流感模型的优化(SIMBO)的自动测试数据生成方法

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This paper is based on Swine Influenza Models Based Optimization (SIMBO) natural computing technique which is used to automatic software test data generation. The concept of dominance relation between nodes has been used as fitness function in this paper. Finally, the results in the paper show the effectiveness of SIMBO techniques as compare to Particle Swarm Optimization (PSO) and Genetic Algorithm (GA).
机译:本文基于基于猪流感模型的优化(SIMBO)自然计算技术,该技术用于自动软件测试数据生成。节点之间的支配关系的概念已被用作适应度函数。最后,本文的结果表明,与粒子群优化(PSO)和遗传算法(GA)相比,SIMBO技术的有效性。

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