Zhong Jie Li, Jun Zhu, Liang-Jie Zhang, Naomi M. Mitsumori
{"title":"Towards a practical and effective method for Web services test case generation","authors":"Zhong Jie Li, Jun Zhu, Liang-Jie Zhang, Naomi M. Mitsumori","doi":"10.1109/IWAST.2009.5069048","DOIUrl":null,"url":null,"abstract":"This paper proposes a method for Web services test case generation, which is centered on a practical test data generation framework that has higher probability to penetrate the service implementation logic. This presented framework leverages both the information contained in the WSDL/XSD files and the information provided by testers as well as enables testers to customize the fields to be tested, field constraints and data generation rules. The proposed method can generate test cases that are effective in detecting defects and efficient in reducing test time. This paper also presents preliminary empirical evidence to illustrate the value of the method.","PeriodicalId":401585,"journal":{"name":"2009 ICSE Workshop on Automation of Software Test","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 ICSE Workshop on Automation of Software Test","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWAST.2009.5069048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
This paper proposes a method for Web services test case generation, which is centered on a practical test data generation framework that has higher probability to penetrate the service implementation logic. This presented framework leverages both the information contained in the WSDL/XSD files and the information provided by testers as well as enables testers to customize the fields to be tested, field constraints and data generation rules. The proposed method can generate test cases that are effective in detecting defects and efficient in reducing test time. This paper also presents preliminary empirical evidence to illustrate the value of the method.