Treffer: Rewriting petri nets as directed graphs

Title:
Rewriting petri nets as directed graphs
Publisher Information:
North Atlantic University Union
Publication Year:
2011
Collection:
University of Malta: OAR@UM / L-Università ta' Malta
Document Type:
Fachzeitschrift article in journal/newspaper
Language:
English
Rights:
info:eu-repo/semantics/restrictedAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder
Accession Number:
edsbas.2F9DA992
Database:
BASE

Weitere Informationen

This work attempts to understand some of the basic properties of Petri nets and their relationships to directed graphs. Different forms of directed graphs are widely used in computer science. Normally various names are given to these structures. Eg directed acyclical graphs (DAGs), control flow graphs (CFGs), task graphs, generalized task graphs (GTGs), state transition diagrams (STDs), state machines, etc. Some structures might exhibit bisimilarity. The justification for this work is that Petri nets are based on graphs and have some similarities to them. Transforming Petri nets into graphs opens up a whole set of new interesting possible experimentations. Normally this is overlooked. Directed Graphs have a lot of theory and research associated with them. This work could be further developed and used for Petri net evaluation. The related works justifies the reasoning how and why Petri nets are obtained or supported using graphs. The transformation approach can be formal or informal. The main problem tackled is how graphs can be obtained from Petri nets. Possible solutions that use reduction methods to simplify the Petri net are presented. Different methods to extract graphs from the basic or fundamental Petri net classes are explained. Some examples are given and the findings are briefly discussed. ; peer-reviewed