Modeling of distributed real-time embedded (DRE) systems allows one to evaluate models behavior or schedulability. However, assessing that a DRE system's behavior is correct in the causal domain is a challenge: one need to elaborate a mathematical abstraction suitable for checking properties like absence of deadlock or safety conditions (i.e. an invariant remains all over the execution). In this paper, we propose a global approach to building Petri Nets models from an architecture described using AADL. We consider the semantics of interacting entities defined by AADL, and show how to build corresponding Petri Nets models. Based on a case study, we show how the verification process could be automated and parameterized.