计算机技术与发展Issue(4)：21-24,28,5.DOI:10.3969/j.issn.1673-629X.2014.04.005
NSGA-II面向多目标测试数据模型的生成
Generation of NSGA-II for Multi-objective Test Data Model
摘要
Abstract
The realization of the test data automatic generation is an important research project of software test. At present many research-ers use a variety of methods to realize the automatic generation of test data,but the generated test data are generally only to achieve maxi-mum coverage rate. In test data generation,hope that generated test data can achieve maximum coverage rate and generated test data set is as small as possible,therefore reducing the execution time and improving the execution efficiency. To evaluate testing data from two as-pects of coverage standard and memory consumption,adopt multi-objective optimization algorithm,NSGA-II,to achieve automatic gen-eration of test data which satisfies the biggest branch coverage rate and the maximum memory allocation at the same time. The experimen-tal results show that the NSGA-IIto generate test data is better to meet the two goals than the other multi-objective optimization algo-rithms.关键词
NSGA-域算法/多目标测试数据/覆盖率/内存分配Key words
NSGA-II/multi-objective test data/coverage rate/memory allocation分类
信息技术与安全科学引用本文复制引用
周文晶,王占刚..NSGA-II面向多目标测试数据模型的生成[J].计算机技术与发展,2014,(4):21-24,28,5.基金项目
教育部博士点基金项目(200800580004) （200800580004）
天津市自然科学基金资助项目(043600711) （043600711）
