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8.1. Introduction Of the formalisms derived from Petri nets, colored nets and well-formed nets are most used for modeling complex systems. Although they enjoy greater modeling power, they are de ned as abbreviations of Petri nets, therefore it would be possible to reduce their analysis to the analysis of the place/transition nets obtained by unfolding them. However, this method comes up against the problems of the size of the unfolded net, the combinatorial explosion of its reachability graph, and the dif culty of interpreting the results obtained. This greatly complicates the analysis of the obtained results and, moreover, deprives the analysis of the information introduced by the designer concerning the symmetries occurring between the behaviors of the problem objects. Much research [GIR 01, DES 04] has been done on direct analysis techniques for high level nets. In this chapter we study three of them for colored nets and well-formed nets: The rst one, presented in section 8.2, is the construction of the symbolic reachability graph. It speci cally applies to well-formed nets and fully exploits the symmetries of the model to construct a very compact type of reachability graph: each of its nodes represents a set of ordinary markings involved in an equivalence relation based on these symmetries.



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If pri[t] > 0, t is immediate and w[t][c, m] represents the weight of t. The ring probability of t(c) in m is: w[t][c, m]





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Some RMPs focus on qualitative analysis, some on quantitative analysis, and some use both. We argue for both, with use varying at different stages in the Project Life Cycle (PLC) and at different points in the RMP. What is important for present purposes is understanding that an effective RMP will necessarily be a largely qualitative identifying-and-structuring process early on and a more quantitative choosing-and-evaluating process later on. The effectiveness and ef ciency of quantitative analysis is driven to an important extent by the quality of the qualitative analysis and the joint interpretation of both. Many of the key motives for formal risk analysis may seem to be driven directly by quantitative risk analysis, but the underlying role of the qualitative analysis this depends on should never be forgotten, and some of the key corporate learning motives are met by the qualitative aspects of the process.

Simple Network Management Protocol version 3 Structured Query Language Service Set Identi er Semipermanent Virtual Circuit Transmission Control Protocol Time Division Multiple Access Telecommunications Management Network Type of Service Trouble Ticket Administration Unmanned Aerial Node Un-Encrypted Side User Datagram Protocol Uniform Resource Locator Coordinated Universal Time Virtual Private Network Working Group Wireless Fidelity Window Size eXtensible Access Control Markup Language eXtensible Markup Language

(a) 10 a1 = b1 = 0.55 0 a2 = b2 = 1.49 0 Length = 2.0 0 a = b = 1.5 0 (square lattice)

This hierarchical approach is very much in the spirit of both Penrose (1959) and Prahalad and Hamel (1990).

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