Model driven reverse engineering for a grassland model with design of experiments in the context of climate change.
Résumé
Vulnerability is the degree to which human and environmental systems are likely to experience harm due to a perturbation or stress. In the study of climate change impacts on grassland, we have run various experimental plans and with a reverse engineering approach we build the models of our design of experiments. This modelling helps identifying a common pattern seen as a metamodel to which parts of our models can be conformed to. The Model Driven Engineering approach will help us to propose a software framework that will deal with the distribution of experimental plans under vulnerability constraints.
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Summer Sim 2011 Lardy Graux Gaurut Bellocchi Hill_1.pdf (297.84 Ko)
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