From Symmetric Nets to Symmetric Nets with Bags

Nowadays, systems tend to be more and more distributed. Distribution brings a huge complexity and a strong need to deduce possible (good and bad) behaviors on the global system, from the known behavior of its actors. For such systems, we know that classical development methods are not adequate since the coverage of possible executions is too low. This is an old observation that led people to investigate the use of formal methods. One good candidate for analyzing such systems are Petri nets. More specifically, coloured Petri nets enjoy the use of a high-level language to describe data while the net structure captures the flow of information. Although they provide very nice means for modelling, their generality has the drawback of the difficulty to apply efficient analysis techniques. In this tutorial, we focus on symmetric nets which are high-level nets with a limited set of allowed data types, allowing for efficient state space analysis. We also tackle their extension to symmetric nets with bags for which analysis can still be applied. The tutorial will present the underlying theory, the verification approaches, typical applications, and will put these into practice through hands-on sessions using the CosyVerif verification environment.

3.11 - Second Example of SNB

To complete the presentation of Symmetric nets with bags, a more advanced example is presented.

10-08
15:59

3.10 - Functions Used in SBN and Firing Rule

Since Symmetric Nets with Bags allow for manipulating bags of values, they make use of new functions on colours and on bags in their firing rule. These functions are explained and examplified.

10-08
08:48

3.09 - Symmetric Nets with Bags

Models can be made easier to describe by enhancing parametrisation and reducing interleaving. To do so, Symmetric Nets with Bags are introduced, that allow for manipulating bags of values instead of individual values.

10-08
09:13

3.08 - SN and Partial Symmetries

When these elements are so distinct that they show only individual behaviour, partial symmetries, as presented in this sequence, must be used to reduce the Symbolic Reachability Graph.

10-08
09:26

3.07 - Static Subclasses

This approach of Symbolic Reachability Graph is further improved by defining static subclasses, where all elements within a same subclass have the same behaviour.

10-08
11:38

3.06 - The Symbolic Reachability Graph

The previous sequences have set all the basis necessary for the construction of the Symbolic Reachability Graph. It takes advantage of the symmetry between markings, and between firings, so as to study the behaviour at a symbolic level.

10-08
08:18

3.05 - Symbolic Firing Rule

In order to express the behaviour of the system between symbolic markings, a similar approach is necessary, thus defining a symbolic firing rule.

10-08
03:47

3.04 - Dynamic Subclasses and Symbolic Markings

The next step towards the definition of the reduced graph consists in defining subclasses of markings as well as symbolic markings, that represent a complete subclass.

10-08
06:54

3.03 - Symmetries to Reduce the Reachability Graph of SN

In this sequence, symmetries of both markings and firings are formally defined. Symmetries are a powerful tool to reduce the size of the reachability graph, thus making it amenable.

10-08
10:11

3.02 - Global vs Local Symmetries

In this sequence, the most essential feature of Symmetric Nets is presented through the running example. It exhibits the intrinsic symmetries of both markings and firings in such models.

10-08
09:33

3.01 - Opening

This short sequence is a general overview of the last part of the tutorial.

10-08
00:58

2.01 - Introduction to Practical Work

This short session is an introduction to practicals with the CosyVerif verification platform. It briefly introduces the underlying principles, the technical requirements for the installation, which are necessary to do the exercises.

10-08
11:59

1.07 - CTL properties

Another logic allow for expressing properties on a tree of possible futures: CTL (Computational Tree Logic) properties.

10-08
14:16

1.06 - LTL properties

Properties to be satisfied by the system must be expressed in a formal language. A first approach is introduced with LTL (Linear Time Logic) properties.

10-08
11:46

1.05 - The reachability graph for SN analysis

After having modelled a system using Petri nets, the objective is to verify it satisfies some interesting properties. To do so, the construction of the reachability graph is introduced, which exhaustively explores all possible states of the system.

10-08
12:31

1.04 - Modelling with Symmetric Nets

This sequence presents a complete small example, where a simple train system with conditions to avoid trains collisions is modelled step-by-step. It thus shows the modelling approach process when using Symmetric nets.

10-08
07:27

1.03 - Syntax and semantics of SN

The syntax and semantics of Symmetric nets are defined, so that a rigorous presentation of their firing rule can be given, together with an example. The specific basic colour functions that are used in Symmetric nets are also detailed.

10-08
22:50

1.02 - Introduction

The characteristics of different kinds of Petri nets, from Place/Transition nets to Coloured nets, are put into light and motivate the focus of this tutorial on Symmetric nets. These are then informally introduced.

10-08
14:58

1.01 - Opening

This short sequence is a general overview of the tutorial, and more specifically of the first part.

10-08
02:21

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