DocumentCode :
1970842
Title :
Stateful Web Services -- Auto Modeling and Composition
Author :
Ali, Syed Abid ; Roop, Partha S. ; Warren, Ian
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Auckland, Auckland, New Zealand
fYear :
2013
fDate :
June 28 2013-July 3 2013
Firstpage :
284
Lastpage :
291
Abstract :
The web service community has introduced many techniques to cope with the inability of WSDL to describe a service´s behavior. Those techniques range from embedding more XML tags in WSDL, to generate formal behavioral models on top of WSDL. Apart from the efficiency of these techniques, a common problem is that they require manual efforts to model the behavior of a service, and often need informal documentation from service vendors to do so. In this paper, we propose a solution for the above problem by automatically extracting a service´s behavior, directly from its WSDL document. Our approach is based on the utilization of particular WSDL elements, which are usually ignored by bottom-up approaches while generating a WSDL file. We illustrate our process in steps by taking a scenario from Amazon E-commerce Web Service. We also survey the issues with extracting the behavioral models, from the WSDLs of existing web services. Finally, we tested our automatically generated models by composing them together using our service composition framework.
Keywords :
Web services; XML; electronic commerce; Amazon e-commerce Web service; WSDL document; WSDL file; Web services description language; informal documentation; service behavior extraction; service composition framework; service vendors; stateful Web services; Business; Communities; Documentation; Standards; Unified modeling language; Web services; XML; WSDL; behavioral modeling; composition; stateful web services; web service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Services (ICWS), 2013 IEEE 20th International Conference on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5025-1
Type :
conf
DOI :
10.1109/ICWS.2013.46
Filename :
6649590
Link To Document :
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