A model-based approach for the specification and refinement of streaming applications

Embedded systems can be found in a wide range of applications. Depending on the application, embedded systems must meet a wide range of constraints. Thus, designing and programming embedded systems is a challenging task. Here, model-based design flows can be a solution. This thesis proposes novel approaches for the specification and refinement of streaming applications. To this end, it focuses on dataflow models. As key result, the proposed dataflow model provides for a seamless model-based design flow from system level to the instruction/logic level for a wide range of streaming applications

Formalizing TLM with Communicating State Machines

Transaction Level Models are widely being used as high-level reference models during embedded systems development. High simulation speed and great modeling flexibility are the main reasons for the success of TLMs. While modeling flexibility is desirable for the TLM designer, it generates problems during analysis and verification of the model. In this paper we formalize the notion of Transaction Level Models by introducing a set of rules that allow the transformation of TLMs to a set of communicating state machines. SystemC being the most popular TLM language, we additionally present a finite state model of the SystemC scheduler. Finally, we demonstrate that using our modeling approach, a standard model checker can be employed to formally prove properties on the finite state model.