Recent developments in metamodelling and model transformation techniques have led to increasing adoption of model-driven engineering practices. The increase in interest and significance of the model-driven approach has also accelerated its application in the development of large (distributed) IT systems to support (collaborative) enterprises. Shifting attention from source code to models allows enterprises to focus on their core concerns, such as business processes, services and collaborations, without being forced to simultaneously consider the underlying technologies. Different models typically address different concerns, with transformations between these models and ultimately to the source code. Although the model-driven approach offers theoretical benefits for the development, maintenance and evolution of enterprise computing systems and corresponding service-oriented solutions, a number of issues for the practical application of the approach still exist. In order to solve these issues further advances in models (business goals, pragmatic interoperability, semantic interoperability) and model-driven methods (design concepts, languages, metamodels, profiles, specification frameworks) are necessary. This workshop aims at helping the convergence of research on model-driven development and practical application of the model-driven approach in the area of enterprise computing and service engineering. The workshop addresses questions with respect to the requirements on, concepts for, properties of and experience with models and model-driven methods for service engineering in the area of enterprise computing. A special focus is on the combined application of model-driven and semantic approaches in the different phases of the service lifecycle. Submissions related to model-driven approaches in cloud computing are also welcome.
The workshop invites original submissions from both researchers and practitioners in the following (non-exhaustive) list of topics: Model-driven service-oriented design process, milestones and design guidelines for service engineering (business goals, pragmatic interoperability, semantic interoperability) Modelling techniques for Service-Oriented Architectures (design concepts, languages, meta-models, profiles and specification frameworks) Full lifecycle requirements management for service systems Modelling of non-functional properties (Quality-of-Service) Modelling, analysis and execution of service compositions Model-driven design patterns Platform-independent modelling techniques Mappings and transformation patterns from platform-independent models to specific technology platforms (Web Services, J2EE, .NET, etc.) Limitations of metamodel-based techniques for service engineering, and alternative techniques Model-driven service description, publication and discovery Platform models and generic platform types Use of viewpoints, relations and correspondences between viewpoints for model-driven service-oriented design Implications of (middleware) platform characteristics for the model-driven design process Model-driven approaches in cloud computing Empirical studies and experience reports on models and model-driven methods.
09月01日
2014
09月02日
2014
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