Measurement of Fairness in Process Models using Entropy and Stochastic Petri Nets

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Measurement of Fairness in Process Models using Entropy and Stochastic Petri Nets

Popis výsledku v původním jazyce

Measurements of various properties of the process models in the last few years become relatively widely explored area. These are properties such as uncertainty, complexity, readability or cohesion of process models. Quantification of these properties canprovide better insight in term of, for instance, user-friendliness, predictability, clarity, etc. of the process model. The aim of this work is to design a method for quantification of fairness in the process models which are modelled using stochastic Petri nets. The method is based on mapping the set of all reachable markings of Petri net into Markov chain and then quantification of entropy from stationary probabilities of the individual places (all places or a specific subset). The resulting value offairness is from the interval {0, 1}.

Název v anglickém jazyce

Measurement of Fairness in Process Models using Entropy and Stochastic Petri Nets

Popis výsledku anglicky

Measurements of various properties of the process models in the last few years become relatively widely explored area. These are properties such as uncertainty, complexity, readability or cohesion of process models. Quantification of these properties canprovide better insight in term of, for instance, user-friendliness, predictability, clarity, etc. of the process model. The aim of this work is to design a method for quantification of fairness in the process models which are modelled using stochastic Petri nets. The method is based on mapping the set of all reachable markings of Petri net into Markov chain and then quantification of entropy from stationary probabilities of the individual places (all places or a specific subset). The resulting value offairness is from the interval {0, 1}.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

ICSOFT-EA 2014 - Proceedings of the 9th International Conference on Software Engineering and Applications

ISBN

978-989-758-036-9

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

115-120

Název nakladatele

SciTePress - Science and Technology Publications

Místo vydání

Porto

Místo konání akce

Vienna

Datum konání akce

29. 8. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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