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13.1. Introduction This chapter is devoted to the presentation of a set of partial order methods for optimizing the veri cation of nite systems (i.e. systems having a nite number of states). The main principle of these methods differs from those presented in the previous chapter. Indeed, the goal of covering step graphs is to obtain a reduced reachability graph preserving the information relevant to the veri cation. The methods discussed in this chapter are based on an explicit representation of the partial order binding the events of the studied system. The model chosen for this representation is a Petri net belonging to a subclass (occurrence net) which is associated with a labeling function (a homomorphism). The occurrence net describes the partial order between events, while the homomorphism allows us to match the events with the transitions of the studied net they represent. This association is known in the literature by the term branching process and was initially introduced in [NIE 81, ENG 91] for the representation of the branching semantics of Petri net partial orders. For a system (even bounded), the number of events is generally in nite (i.e. if an in nite sequence of rings is feasible). Then the exhaustive and explicit representation of the (partial) order which causally links these events is impossible. This relation is called unfolding of the system. The veri cation methods which we present here are based on the construction of a nite pre x of the unfolding. The rst major dif culty with these methods is ensuring that the represented part is large enough to allow the development of veri cation algorithms. McMillan [MCM 92, MCM 95a] described the construction of a nite pre x in which all reachable states are represented. He c# upc-a reader C# UPC-A Barcode Scanner Library - Read & Scan UPC-A Using ...
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