Model-driven quality engineering of service-based systems

TitleModel-driven quality engineering of service-based systems
Publication TypeJournal Article
Year of Publication2010
AuthorsD'Ambrogio, Andrea
Secondary AuthorsGeorge, Maria
JournalSmart Innovation, Systems and Technologies
Volume2
Pagination81-103
ISSN21903018
ISBN Number9783642133541
KeywordsBPEL, Business process execution language for web services, Distributed applications, Forecasting, Information services, Meta-model transformations, Model driven architectures, Model-driven, Multimedia services, Quality of service, Service oriented architecture (SOA), Software architecture, Software design, UML, Web service definition languages, Web services, Websites, WSDL
AbstractWeb services are the building blocks of systems based on service-oriented architectures. A web service is a self-describing, open component that supports rapid composition of distributed applications. Web service definitions are used to describe the service capabilities in terms of the operations of the service and the input and output messages for each operation. Such definitions are expressed in XML by use of the Web Service Definition Language (WSDL). Unfortunately, a WSDL description only addresses the functional aspects of a web service without containing any useful description of non functional or quality of service (QoS) characteristics. This paper introduces a lightweight WSDL extension for the description of QoS characteristics of a web service. The extension is carried out as a metamodel transformation, according to principles and standards recommended by the Model Driven Architecture (MDA). The WSDL metamodel is introduced and then transformed into the Q-WSDL (QoS-enabled WSDL) metamodel. As an example application of Q-WSDL, the paper illustrates a model-driven method that exploits Q-WSDL in order to automatically predict and describe the QoS of systems based on composite web services specified by use of the Business Process Execution Language for Web Services (BPEL). The paper specifically addresses the prediction of the reliability attribute of QoS and is illustrated by use of an example application to a composite web service for travel planning. © Springer-Verlag Berlin Heidelberg 2010.
URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84879295871&partnerID=40&md5=6aebac9835244b3b880b8819ea5e68f2
DOI10.1007/978-3-642-13355-8_6