ArgoAWS-UML: Modeling Tool for Adaptive Web Services

In the few last decades, the number of Web users has been tremendously increasing. The heterogeneity of their working environments and the variety of their hand held devices have led to an urgent need for Web services that can be adapted to the users' profiles and specific needs. Developing-oriented solutions have been proposed in order to make services adapted at the runtime. Nevertheless, adaptive Web services require representing and processing the user contextual information at the design step of the service life cycle. Therefore, we have proposed in our previous work [2] a modeling language for adaptive Web service and called it AWS-UML. Our proposed language is an extension of the UML language allowing adding context features to the service model. In the present paper, we introduce a modelling tool called ArgoAWS-UML that supports AWS-UML language and offers to designers the ability to fulfil the service producers and requesters' expectations. Indeed, ArgoAWS-UML allows designers to specify features together with the adaptation criteria.