中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
testing wsdl_based web service automatically

文献类型:会议论文

作者Dong Wenli
出版日期2009
会议名称World Congress on Software Engineering
会议日期MAY 19-21,
会议地点Xiamen, PEOPLES R CHINA
关键词ATS ETS QoS WSDL software testing Web service description language Web service interface test group XML parser XML_based test scripting language abstract test suite executable test suite analysis interoperation test group message schema syntactic test group quality-of-service test case generation test data generation test flow tree-search algorithm Web services XML grammars program testing quality of service search problems specification languages trees (mathematics)
英文摘要Testing to ensure service QoS is a key problem for Web Service adoption One of the key problems for software testing is designing the finite test suit tailored to test case generation efficiently This paper focuses on Abstract Test Suite and Executable Test Suite analysis of WSDL_based Web Service and proposes automated WSDL_based Web Service testing A XML_based test scripting language is discussed and Executable Test Suite can be derived from Abstract Test Suite automatically based on XML parser. Executable Test Suite consists of message Schema syntactic test group, Web Service interface test group, and interoperation test group A test process is used in WSDL_based Web Service testing The three key techniques adopted by the test process including the test case generation, test flow, and test data generation are analyzed.
会议主办者World Res Inst
会议录2009 WRI World Congress on Software Engineering, WCSE 2009
会议录出版者2009 WRI WORLD CONGRESS ON SOFTWARE ENGINEERING, VOL 3, PROCEEDINGS
会议录出版地10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
ISBN号978-0-7695-3570-8
源URL[http://124.16.136.157/handle/311060/8220]  
专题软件研究所_基础软件国家工程研究中心_会议论文
推荐引用方式
GB/T 7714
Dong Wenli. testing wsdl_based web service automatically[C]. 见:World Congress on Software Engineering. Xiamen, PEOPLES R CHINA. MAY 19-21,.

入库方式: OAI收割

来源:软件研究所

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