Optimization of Calculating Invariants in Petri Nets to Support the Creation of Integration Testing Scenarios

The article describes a method of finding business process invariants basing on a given model in eEPC notation. The method uses an original translation process to build a Petri net corresponding to the source eEPC model, to find its invariants and to translate them back into the eEPC notation. An op...

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Main Authors: M. G. Dorrer, V. V. Kurokhtin
Format: Article
Language:English
Published: Yaroslavl State University 2015-02-01
Series:Modelirovanie i Analiz Informacionnyh Sistem
Subjects:
Online Access:https://www.mais-journal.ru/jour/article/view/47
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spelling doaj-08f6e36ea7c044d4840d93ba88ecb58b2021-07-29T08:15:20ZengYaroslavl State UniversityModelirovanie i Analiz Informacionnyh Sistem1818-10152313-54172015-02-0119412814310.18255/1818-1015-2012-4-128-14341Optimization of Calculating Invariants in Petri Nets to Support the Creation of Integration Testing ScenariosM. G. Dorrer0V. V. Kurokhtin1Сибирский Государственный Технологический университетСибирский Государственный Технологический университетThe article describes a method of finding business process invariants basing on a given model in eEPC notation. The method uses an original translation process to build a Petri net corresponding to the source eEPC model, to find its invariants and to translate them back into the eEPC notation. An optimized method of finding Petri net invariants is also offered, based on estimating possible values for separate vector elements (and a group of elements) and combining these values with each other to receive a Petri net invariant. The resulting business process invariants may be used to create integration testing scenarios for an implemented automation system.https://www.mais-journal.ru/jour/article/view/47invariantpetri netoptimizationintegration tesing
collection DOAJ
language English
format Article
sources DOAJ
author M. G. Dorrer
V. V. Kurokhtin
spellingShingle M. G. Dorrer
V. V. Kurokhtin
Optimization of Calculating Invariants in Petri Nets to Support the Creation of Integration Testing Scenarios
Modelirovanie i Analiz Informacionnyh Sistem
invariant
petri net
optimization
integration tesing
author_facet M. G. Dorrer
V. V. Kurokhtin
author_sort M. G. Dorrer
title Optimization of Calculating Invariants in Petri Nets to Support the Creation of Integration Testing Scenarios
title_short Optimization of Calculating Invariants in Petri Nets to Support the Creation of Integration Testing Scenarios
title_full Optimization of Calculating Invariants in Petri Nets to Support the Creation of Integration Testing Scenarios
title_fullStr Optimization of Calculating Invariants in Petri Nets to Support the Creation of Integration Testing Scenarios
title_full_unstemmed Optimization of Calculating Invariants in Petri Nets to Support the Creation of Integration Testing Scenarios
title_sort optimization of calculating invariants in petri nets to support the creation of integration testing scenarios
publisher Yaroslavl State University
series Modelirovanie i Analiz Informacionnyh Sistem
issn 1818-1015
2313-5417
publishDate 2015-02-01
description The article describes a method of finding business process invariants basing on a given model in eEPC notation. The method uses an original translation process to build a Petri net corresponding to the source eEPC model, to find its invariants and to translate them back into the eEPC notation. An optimized method of finding Petri net invariants is also offered, based on estimating possible values for separate vector elements (and a group of elements) and combining these values with each other to receive a Petri net invariant. The resulting business process invariants may be used to create integration testing scenarios for an implemented automation system.
topic invariant
petri net
optimization
integration tesing
url https://www.mais-journal.ru/jour/article/view/47
work_keys_str_mv AT mgdorrer optimizationofcalculatinginvariantsinpetrinetstosupportthecreationofintegrationtestingscenarios
AT vvkurokhtin optimizationofcalculatinginvariantsinpetrinetstosupportthecreationofintegrationtestingscenarios
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