2019
DOI: 10.5013/ijssst.a.20.s1.15
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Performance of Static Slicing Algorithms for Petri Nets

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Cited by 5 publications
(4 citation statements)
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“…For example, two slicing algorithms were used to reduce a Petri net model that maintained the safety property in [26] and the CTL * −x property in [27]. Moreover, a place-invariant-based (PI-based) algorithm to slice Petri nets and preserve the placeinvariant property was proposed in [28]. Furthermore, [29] proposed dynamic slicing algorithms for Petri nets by computing the backward and forward slices while considering an initial marking, and these algorithms were further improved using a structural dependency graph (SDG) in [30].…”
Section: Introductionmentioning
confidence: 99%
“…For example, two slicing algorithms were used to reduce a Petri net model that maintained the safety property in [26] and the CTL * −x property in [27]. Moreover, a place-invariant-based (PI-based) algorithm to slice Petri nets and preserve the placeinvariant property was proposed in [28]. Furthermore, [29] proposed dynamic slicing algorithms for Petri nets by computing the backward and forward slices while considering an initial marking, and these algorithms were further improved using a structural dependency graph (SDG) in [30].…”
Section: Introductionmentioning
confidence: 99%
“…Another approach closely related is activity-oriented Petri Nets, a methodology to minimize the size of a Petri net. It has been used to reduce the size of Petri net models involving many resources [13,14,15] and tested for its applicability for model checking in [10] together with other slicing algorithms ( [16,8,17]).…”
Section: Introductionmentioning
confidence: 99%
“…Sometimes, slicing of a Petri Net is performed so that the size of the Petri Net is reduced so that the state space (aka reachability graph) generated from it is smaller as well. However, the existing slicing algorithms are ineffective for real-world discrete event systems [1]; Also, slicing is not applicable to performance evaluation [2]. Thus, there is a need for alternative methodologies for slicing that are effective for Petri net models of real-life large discrete event systems.…”
Section: Introductionmentioning
confidence: 99%