Experimentation in Executable Enterprise Architecture Models

Enterprise Architecture (EA) is a multidimensional modelbased approach which enables analysis and decision-making in organizations. Currently, most EA approaches produce inherently static models: they focus on structural qualities of the organizations and represent their state only in one specific point in time. Thus, these models are not suitable enough for analyzing dynamic and run-time features of the organizations. This paper aims to solve this situation by proposing a model-driven platform for EA modeling and simulation. The proposal includes the means to build executable EA models, define experiments over the models, run the experiments, observe their run-time behavior, and calculate indicator-based results to aid the decision-making process.