Modular Analysis of Dataflow Process Networks
Yan Jin, Robert Esser, Charles Lakos and Jörn W. Janneck
Proceedings Fundamental Approaches to Software Engineering (FASE) 2003
Process networks are popular for modelling distributed computing and signal processing applications, and multi-processor architectures. At the architecture description level, they have the flexibility to model actual processes using various formalisms. This is especially important where the systems are composed of parts with different characteristics, e.g. control-based or dataflow-oriented. However, this heterogeneity of processes presents a challenge for the analysis of process networks. This research proposes a lightweight method for analysing properties of such networks, such as freedom from unexpected reception and deadlock. The method employs interface automata as a bridge between the architectural model and heterogeneous processes. Thus, the properties are determined by a series of small tasks at both the architecture level and the process level. This separation of concerns simplifies the handling of heterogeneous processes and alleviates the potential state space explosion problem when analysing large systems.