More information on MODELSWARD - International Conference on Model-Driven Engineering and Software Development
The purpose of the International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2013, is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in using models and model driven engineering techniques for Software Development. Model-Driven Development (MDD) is an approach to the development of IT systems in which models take a central role, not only for analysis of these systems but also for their construction. MDD has emerged from modelling initiatives, most prominently the Model-Driven Architecture (MDA) fostered by the Object Management Group (OMG). In the scope of MDA, a couple of technologies have been developed that became the cornerstones of MDD, like metamodelling and model transformations. MDD relies on languages for defining metamodels, like the Meta-Object Facility (MOF) and Ecore (developed in the scope of the Eclipse Modelling Framework), and transformation specification languages like QVT and ATL.
MDD is already around for some years and is about to become commodity in software development due to its benefits (reduction on development costs, improvement of software quality, reduction of maintenance costs and the support for controlled evolution of IT systems). MDD has also been applied in many application areas, such as real-time and embedded systems, and telecommunication systems, and, more recently, to the development and integration of enterprise information systems. However, the MDD research community is wishing to explore the bounds of MDD, by investigating new applications areas and combinations with other emerging technologies, like, for example, pervasive context-aware systems, semantic web, semantic web services, service-oriented architecture, ontologies and cloud computing. This conference aims at fostering the further development and application of MDD techniques for