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dc.contributor.authorBergemann, Sebastian
dc.contributor.editorMichael, Judith
dc.contributor.editorPfeiffer
dc.contributor.editorJérôme
dc.contributor.editorWortmann, Andreas
dc.date.accessioned2022-06-30T13:01:11Z
dc.date.available2022-06-30T13:01:11Z
dc.date.issued2022
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/38805
dc.description.abstractA way to handle the complexity of cyber-physical systems is model-based systems engineering (MBSE) with multiple viewpoints. These viewpoints satisfy different concerns, but they likely have information dependencies and overlaps among each other. Inconsistencies can be introduced whenever there are changes in only some of the views without consistent synchronization in other dependent views. In this paper, we motivate why consistency management is important in multi-view MBSE and define requirements for it. By analyzing the State of the Art, we identify limitations in (multi-view) consistency management approaches, especially for inconsistency detection. Besides general performance issues, we notice primarily that most approaches are limited to or at least tested on only very specific views and tools with homogeneous models and few specific predefined consistency rules. Furthermore, in most approaches we cannot find solutions regarding subsequent updates of consistency rules by the user, allowance of tolerating inconsistency, and handling confidentiality. These literature gaps pose open research challenges for making multi-view consistency management more applicable in the industry.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2022 Satellite Events
dc.subjectConsistency management
dc.subjectMulti-view modeling
dc.subjectModel-based systems engineering
dc.titleChallenges in Multi-View Model Consistency Management for Systems Engineeringen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages77-89
mci.conference.sessiontitleState of the Art Methods and Tools in Model-based Systems Engineering (SpesML'22)
mci.conference.locationHamburg
mci.conference.date27.6. - 1.7.2022
dc.identifier.doi10.18420/modellierung2022ws-009


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