2012
DOI: 10.1007/s10270-012-0242-3
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Domain-specific discrete event modelling and simulation using graph transformation

Abstract: El acceso a la versión del editor puede requerir la suscripción del recurso Access to the published version may require subscription Abstract Graph transformation is being increasingly used to express the semantics of domain specific visual languages since its graphical nature makes rules intuitive. However, many application domains require an explicit handling of time to accurately represent the behaviour of a real system and to obtain useful simulation metrics in order to measure throughputs, utilization tim… Show more

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Cited by 10 publications
(4 citation statements)
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“…Graph Transformation Systems (GTSs) have been used as a modelling framework in many areas: for example, RuleBENDER 2 is a simulation tool that supports rulebased modelling of biochemical systems [30], Kappa [23] is a rule-based language for modelling protein interaction networks, graph transformation has also been used to outline the semantics of domain specific modelling languages [8].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Graph Transformation Systems (GTSs) have been used as a modelling framework in many areas: for example, RuleBENDER 2 is a simulation tool that supports rulebased modelling of biochemical systems [30], Kappa [23] is a rule-based language for modelling protein interaction networks, graph transformation has also been used to outline the semantics of domain specific modelling languages [8].…”
Section: Related Workmentioning
confidence: 99%
“…Rewrite rules are an intuitive and natural way of expressing dynamic, structural changes which are generally more difficult to model in traditional simulation approaches where the structure of the model is usually fixed [8]. Graph rewriting languages are well-suited to the study of the dynamic behaviour of complex systems: their declarative nature and visual aspects facilitate the analysis of the processes of interest producing a shorter distance between mental picture and implementation; they can be used for rapid prototyping, to run system simulations, and, thanks to their formal semantics, also to reason about system properties.…”
Section: Introductionmentioning
confidence: 99%
“…Based on ideas from Event Scheduling, de Lara et al propose in [12] an interesting way of adding explicit time to graph transformation rules by scheduling rules in the future. Basically, they schedule all possible matches of rules (what they call events) and proceed by handling each of these events.…”
Section: Related Workmentioning
confidence: 99%
“…In addition, over extant approaches, the rewrite rules that drive graph transformation systems are an intuitive and natural way of expressing dynamic, structural changes which are generally more difficult to model using traditional simulation approaches where the structure of the model is usually fixed [5]. Over many of the declarative languages used within agent-based simulation tools, this approach, given its visual declarative nature, provides more conceptualization support.…”
Section: Introductionmentioning
confidence: 99%