Test Case Generation Based on Adaptive Genetic Algorithm

摘要：

　　A novel algorithm is proposed to support test case generation of combination design in this paper.First of all,the combination-index table (CIT) is defined to guide the process of test case generation,based on which the adaptive genetic algorithm (AGA) is proposed to generate test cases.Finally,an automatic test tool for test case generation,named genetic automatic test case generation (GATG) tool,is introduced and compared with the other tools.The experiments show that the adaptive genetic algorithm performs excellent,and more controllable and convenient for test case design.

关键词： test case generation t-wise strategy combinationindex table (CIT) adaptive genetic algorithm (AGA)

作者: Peng Lin Xiaolu Bao Zhiyong Shu Xiaojuan Wang Jingmin Liu

作者单位: Department of Software Testing China Electronic Equipment of System Engineering Institute Beijing, China

会议类型: 国际会议

会议名称: 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering & The 3rd International Conference on Maintenance Engineering (2012质量,可靠性,风险,维修性及安全性工程国际会议(QR2MSE 2012 & ICME 2012))

会议地点: 成都

会议语种:英文

页码: 862-865

在线出版日期: 2012-06-15（万方平台首次上网日期，不代表论文的发表时间）