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A large number of models that are employed in the field of concurrent systems design, such as Petri nets, gate-level circuits, dataflow structures, etc. - all have an underlying static graph structure. Their semantics, however, is defined using additional entities, e.g. tokens or node/arc states, which in turn form the overall state of the system. We jointly refer to such formalisms as interpreted graph models. The similarities between the interpreted graph models allow for links between different formalisms to be created, either by means of adapter interfaces or by conversion from one model type into another. This greatly extends the range of applicable modelling and analysis techniques.

Workcraft is designed to provide a flexible common framework for development of interpreted graph models, including visual editing, (co)simulation and analysis. The latter can be carried out either directly or by mapping a model into a behaviourally equivalent model of a different type (usually a Petri net). Hence the user can design a system using the most appropriate formalism (or even different formalisms for the subsystems), while still utilising the power of Petri net analysis techniques. Below is a summary of the currently supported interpreted graph models that are implemented as as plug-ins for Workcraft framework.

Model Supported features
Editing Simulation Verification Synthesis
abstract behaviour
Directed Graph [1] Yes Yes Yes n/a
Finite State Machine [2] Yes Yes Yes Yes1)
Petri Net [3] Yes Yes Yes Yes2)
Policy Net [4] Yes Yes Yes n/a
signal semantics
Digital Timing Diagram [5] Yes No n/a n/a
Finite State Transducer [6] Yes Yes Yes Yes3)
Signal Transition Graph [7] Yes Yes Yes Yes4)
Conditional Partial Order Graph [8] Yes Some No Yes
structural information
Structured Occurrence Net [9] Yes Yes Yes n/a
Dataflow Structure [10] Yes Yes Yes No
Digital Circuit [11] Yes Yes Yes n/a
xMAS Circuit [12] Yes Yes Some No

[7] A. Yakovlev, L. Lavagno, A. Sangiovanni-Vincentelli: “A unified signal transition graph model for asynchronous control circuit synthesis”, Formal Methods in System Design, vol. 9(3), pp. 139–188, 1996.
[8] A. Mokhov, A. Yakovlev: “Conditional partial order graphs: model, synthesis and application”, IEEE Transactions on Computers, vol. 59(11), pp. 1480–1493, 2010.
[9] M. Koutny, B. Randell: “Structured occurrence nets: a formalism for aiding system failure prevention and analysis techniques”, Fundamenta Informaticae, vol. 97(1–2), pp. 41–91, 2009.
[10] D. Sokolov, I. Poliakov, A. Yakovlev: “Analysis of static data flow structures”, Fundamenta Informaticae, vol. 88(4), pp. 581–610, 2008.
[11] I. Poliakov, A. Mokhov, A. Rafiev, D. Sokolov, A. Yakovlev: “Automated verification of asynchronous circuits using circuit Petri nets”, Proc. IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC), pp. 161–170, 2008.
[12] S. Chatterjee, M. Kishinevsky, U. Ogras: “Quick formal modeling of communication fabrics to enable verification”, Proc. IEEE International Workshop on High Level Design Validation and Test (HLDVT), pp. 42–49, 2010.
synthesis into Petri Net
re-synthesis into simpler Petri Net
synthesis into Signal Transition Graph
synthesis into Digital Circuit and re-synthesis into simpler Petri Net