Article (Périodiques scientifiques)
A Survey of Petri Nets Slicing
Khan, Yasir Imtiaz; Konios, Alexandros; GUELFI, Nicolas
2018In ACM Computing Surveys, 51 (5), p. 109
Peer reviewed
 

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Mots-clés :
Verification by model checking; Petri nets; Testing
Résumé :
[en] Petri nets slicing is a technique that aims to improve the verification of systems modeled in Petri nets. Petri nets slicing was first developed to facilitate debugging but then used for the alleviation of the state space explosion problem for the model checking of Petri nets. In this article, different slicing techniques are studied along with their algorithms introducing: i) a classification of Petri nets slicing algorithms based on their construction methodology and objective (such as improving state space analysis or testing), ii) a qualitative and quantitative discussion and comparison of major differences such as accuracy and efficiency, iii) a syntactic unification of slicing algorithms that improve state space analysis for easy and clear understanding, and iv) applications of slicing for multiple perspectives. Furthermore, some recent improvements to slicing algorithms are presented, which can certainly reduce the slice size even for strongly connected nets. A noteworthy use of this survey is for the selection and improvement of slicing techniques for optimizing the verification of state event models.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
Khan, Yasir Imtiaz;  Coventry University, United Kingdom > School of Computing, Electronics and Mathematics
Konios, Alexandros;  Coventry University, United Kingdom > School of Computing, Electronics and Mathematics,
GUELFI, Nicolas ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
A Survey of Petri Nets Slicing
Date de publication/diffusion :
2018
Titre du périodique :
ACM Computing Surveys
Maison d'édition :
ACM
Volume/Tome :
51
Fascicule/Saison :
5
Pagination :
109
Peer reviewed :
Peer reviewed
Disponible sur ORBilu :
depuis le 06 décembre 2018

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citations Scopus®
 
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