This talk overviewed the problems addressed by metamodel driven techniques, that encompass diverse aspects such as: metrics collection upon models (e.g. for model complexity analysis), model checking (e.g. model smells identification), model refactoring (e.g. modularity improvement), model transformations (e.g. in the context of MDA) or model evolution assessment. Cooperation interests were also overviewed, including process simulation (BPMN models simulation), bayesian networks (model smells detection), cluster analysis (model error clustering, model constructs clustering), augmented modeling (3D model visualization, 2D/3D model animation), time series (models evolution, software evolution) and gamification of learning (BPMN modeling), among others.

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Metamodeling, Software Engineering, Transformations, MDA, OCL, UML