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基于变异的Web复合服务测试数据选择方法
引用本文:张美花,姜瑛.基于变异的Web复合服务测试数据选择方法[J].计算机应用,2011,31(9):2444-2448.
作者姓名:张美花  姜瑛
作者单位:昆明理工大学 信息工程与自动化学院,昆明 650051
基金项目:国家自然科学基金资助项目(60703116;61063006);云南省教育厅科学研究基金重点项目(2010Z017)
摘    要:Web服务集成测试的测试数据数量巨大,影响了测试的质量和效率。提出一种基于变异技术的Web复合服务测试数据选择方法,根据BPEL(Business Process Execution Language)文档获取复合服务的路径集,采用接口变异算子和路径变异算子生成变异体,根据初始测试数据杀死变异体的能力选择有效的测试数据。通过实验验证了方法的有效性,选择出的测试数据数量较少且有效。

关 键 词:Web服务  集成测试  接口变异  路径变异  测试数据选择  
收稿时间:2011-03-10
修稿时间:2011-04-25

Method of test data selection for Web services composition based on mutation
ZHANG Mei-hua,JIANG Ying.Method of test data selection for Web services composition based on mutation[J].journal of Computer Applications,2011,31(9):2444-2448.
Authors:ZHANG Mei-hua  JIANG Ying
Affiliation:Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming Yunnan 650051
Abstract:The amount of test data for integration of Web services is quite huge, which influences the quality and efficiency of testing. A method of test data selection for Web services composition based on mutation technology was proposed. The paths were generated from BPEL (Business Process Execution Language) document. Then interface mutation operator and path mutation operator were used to generate mutants. The effective test data was selected according to the ability of the initial test data that kills the mutants. The experimental results show that the method is effective and the selected test data are less but more effective.
Keywords:Web service                                                                                                                          integration testing                                                                                                                          interface mutation                                                                                                                          path mutation                                                                                                                          test data selection
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