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As a result of new business demands and technological advances processes are becoming increasingly complex and heterogeneous. This calls for business processes that must be managed in an autonomic manner in response to changes in its environmental context. However, a key challenge is to provide variability, understandability and scalability in modeling increasingly complex business processes. In our work we rely on explicit representation of environment variability through context-awareness and quality attributes in order to properly represent autonomic features in Business Process Models. We outline a process that helps to define the modularity of the Business Process Models, indicating where the system needs to be instrumented. A meta-model with the concepts used is presented. This novel approach provides four well-defined levels of abstraction: Communicational Level, Technological Level, Operational Level and Service Level. A real example is used to illustrate our proposal.