A Graph-based approach for process robustness in unreliable communication environments

DC ElementWertSprache
dc.contributor.authorNordemann, F.
dc.contributor.authorTönjes, R.
dc.contributor.authorPulvermüller, E.
dc.contributor.authorTapken, H.
dc.contributor.editorAli, R.
dc.contributor.editorKaindl, H.
dc.contributor.editorMaciaszek, L.
dc.date.accessioned2021-12-23T16:35:16Z-
dc.date.available2021-12-23T16:35:16Z-
dc.date.issued2020
dc.identifier.isbn9789897584213
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/18408-
dc.descriptionConference of 15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020 ; Conference Date: 5 May 2020 Through 6 May 2020; Conference Code:160383
dc.description.abstractThe Business Process Model and Notation (BPMN) is broadly used to model and execute process definitions. Many processes include different participants and require reliable communication to operate properly. However, BPMN is used in a growing number of use cases taking place in unreliable communication environments. Intermittent or broken connectivity potentially interrupts or breaks down process operation. Methods for the verification of process robustness are missing. This paper presents a graph-based approach to automatically identify robust process path configurations. Using process-to-graph transition rules and robustness metrics, graph-based search algorithms allow to find robust process paths and to rate their level of robustness. Process examples show that well-known shortest-path algorithms not necessarily identify the most appropriate path. Comparing all paths using metrics for the path robustness level and robustness probability is a promising choice for most scenarios. Inspired by maximum-flow algorithms, a combined-path analysis may optimize robustness by combining process paths based on different communication technologies. © Copyright 2020 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
dc.description.sponsorshipBundesanstalt für Landwirtschaft und ErnährungBundesanstalt für Landwirtschaft und Ernährung,BLE; The presented work is part of the OPeRAte project (OPeRAte, 2019). OPeRAte is supported by funds of the Federal Ministry of Food and Agriculture (BMEL) based on a decision of the Parliament of the Federal Republic of Germany via the Federal Office for Agriculture and Food (BLE) under the innovation support program.; Institute for Systems and Technologies of Information, Control and Communication (INSTICC)
dc.language.isoen
dc.publisherSciTePress
dc.relation.ispartofENASE 2020 - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering
dc.subjectBPMN
dc.subjectBusiness Process
dc.subjectCommunication environments
dc.subjectCommunication technologies
dc.subjectDAG
dc.subjectGraph algorithms
dc.subjectGraphic methods
dc.subjectMaximum-flow algorithm
dc.subjectPath configuration
dc.subjectProcess Robustness
dc.subjectRBPMN
dc.subjectRegression analysis
dc.subjectReliable communication
dc.subjectRobustness metrics
dc.subjectShortest path algorithms, Graph theory
dc.subjectSoftware engineering, Business process model and notation (BPMN)
dc.subjectUnreliable Communication Environments
dc.titleA Graph-based approach for process robustness in unreliable communication environments
dc.typeconference paper
dc.identifier.scopus2-s2.0-85088364514
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85088364514&partnerID=40&md5=459cffdd43f6e8f920a3915ca8e33ba5
dc.description.startpage97
dc.description.endpage107
dcterms.isPartOf.abbreviationENASE - Proc. Int. Conf. Eval. Novel Approaches Softw. Eng.
crisitem.author.deptInstitut für Informatik-
crisitem.author.deptidinstitute12-
crisitem.author.parentorgFB 06 - Mathematik/Informatik/Physik-
crisitem.author.grandparentorgUniversität Osnabrück-
crisitem.author.netidPuEl525-
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