2003
DOI: 10.1007/978-3-540-40022-6_9
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Rule-Based Refinement of Petri Nets: A Survey

Abstract: Abstract. This contribution provides a thorough survey of our work on rule-based refinement. Rule-based refinement comprises the transformation of Petri nets using rules while preserving certain system properties. Petri net rules and transformations are expressed by morphisms and pushouts. This allows an abstract formulation of our notions independent of a specific Petri net class, as place/transition nets, elementary nets, predicate/transition nets etc. Hence, it is adequate to consider our approach as rule-b… Show more

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Cited by 29 publications
(13 citation statements)
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“…Our future research is concerned with an extension to enhance our theory to preserve other kinds of properties besides invariants, for example liveness properties [10], temporal properties, etc by using existing work in the literature. Furthermore, we would like to support the integration of modeling language with higher level of abstraction than Apn, namely Domain-Specific Languages in general.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Our future research is concerned with an extension to enhance our theory to preserve other kinds of properties besides invariants, for example liveness properties [10], temporal properties, etc by using existing work in the literature. Furthermore, we would like to support the integration of modeling language with higher level of abstraction than Apn, namely Domain-Specific Languages in general.…”
Section: Resultsmentioning
confidence: 99%
“…Our contribution extends Padberg's result published in [19,20] but as already mentioned, this result does not consider guard strengthening. To the best of our knowledge, Padberg's work on this topic has been discontinued after a last survey paper [10] has been published on the topic in 2003.…”
Section: Related Workmentioning
confidence: 91%
“…For place/transition nets, algebraic high-level nets and Coloured Petri nets the most important results for rule-based refinement are presented in Table 1. For more details see [27]. Table 1.…”
Section: Further Resultsmentioning
confidence: 99%
“…There are some research results on rule-based refinement of high-level nets [11,12]. Seldom research focus on refinements of PrT nets.…”
Section: Prt Nets Refinements In Sammentioning
confidence: 99%