MODELSWARD 2018 will be held in conjunction with ICISSP 2018, SENSORNETS 2018 and ICORES 2018.
Registration to MODELSWARD allows free access to the ICISSP, SENSORNETS and ICORES conferences (as a non-speaker).
The purpose of the International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2018, 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.
Bran Selić, Malina Software Corp., Canada
Slimane Hammoudi, ESEO, ERIS, FranceLuís Ferreira Pires, Faculty of Electrical Engineering, University of Twente, Netherlands
Leonel Nóbrega, University of Madeira, Portugal
Franck Barbier, University of Pau, FranceBernhard Rumpe, RWTH Aachen University, GermanyDavid Harel, The Weizmann Institute of Science, Israel
domAin specific Model-based AppRoaches to vErificaTion and validaTiOn - AMARETTOChairs: Francesca Lonetti, Antonello Calabrò and Eda Marchetti
Model Management And Analytics - MOMA3NChairs: Önder Babur, Loek Cleophas and Bedir Tekinerdogan
Chair: Tao Yue
Submission:
November 16, 2017 (expired)
It is planned to publish a short list of revised and
extended versions of presented papers with Springer
in a CCIS Series book