A Decision-Oriented Approach Supporting Enterprise Architecture Evolution

Enterprise architecture (EA) is a discipline driving change within organizations. EA provides also a valuable set of system architectures and modelling techniques in Cyber-Physical Systems (CPS). EA aims to model the relationships between the business and technology in such a way that key dependencies are exposed from the underlying complexity and so can be used to support decisions. However, the management of such changes is a challenging task for enterprise architects, due to the complex dependencies amongst EA models which may also evolve from an initial to a posterior state. In this paper, we present an approach supporting EA models evolution. Our goal is to define an approach supporting design decision during EA evolution. In doing so, we model EA artifacts dependencies and identify their corresponding operations during change. This model is, then, processed using a feedback control schema to fully inform the design decisions. Finally, we evaluate our decision-oriented approach using a case study design.