配对组合测试用例集生成的一种新策略

A novel strategy for pairwise test suite generation

基于人工蜂群(ABC)算法与粒子群优化(PSO)算法,提出了一种新的配对混合人工蜂群(PHABC)策略,用于求解含约束条件的配对组合测试中测试用例集的生成问题.实验结果表明,即使在带有参数约束的情况下,PHABC输出的最佳组合测试集结果正确性更高,相较于其他现有的策略,性能更优.

A new pairwise hybrid artificial bee colony(PHABC)strategy based on artificial bee colony(ABC)algorithm and particle swarm optimization(PSO)algorithm was proposed in this paper.The novel algorithm could be used to resolve the generation of pairwise test suite with existing constraint factors.The results of the experiment showed that the accuracy of the PHABC output was more higher and the performance was more excellent than the existing research strategies,even with existing constraint factors.