In this chapter the authors address the integration of functional models with non-functional models in the context of service-oriented architectures. Starting from the observation that current approaches to model-driven development have a strong focus on functionality, we argue the necessity of including nonfunctional aspects as early as possible in the service design process. We distinguish two modelling spaces, the design space and the analysis space, which can be integrated by means of model transformations. Quantitative results obtained in the analysis space, using special-purpose analysis techniques, can be related back to the design models by means of a reverse transformation. This provides a framework for incorporating non-functional analysis into methodological support for e-service development. While, for detailed design models, quantitative analysis is more or less covered by existing techniques, there is still a gap at the architectural overview level. Therefore, we propose an approach for performance and cost analysis of layered, service-oriented architecture models, which consists of two phases: a “top-down” propagation of workload parameters, and a “bottom-up” propagation of performance or cost measures. By means of an example, the authors demonstrate the application of the approach, and show that a seamless integration with detailed quantitative analysis methods (e.g., queueing analysis for performance predictions) can be achieved.
|Title of host publication||Global Implications of Modern Enterprise Information Systems: Technologies and Applications|
|Place of Publication||Hershey|
|Publisher||Information Science Reference|
|Number of pages||379|
|Publication status||Published - 2009|