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Modeling an Anomaly Detection System with SpesML

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dc.contributor.authorJunker, Maximilian
dc.contributor.authorFemmer, Henning
dc.contributor.editorMichael, Judith
dc.contributor.editorPfeiffer
dc.contributor.editorJérôme
dc.contributor.editorWortmann, Andreas
dc.date.accessioned2022-06-30T13:00:57Z
dc.date.available2022-06-30T13:00:57Z
dc.date.issued2022
dc.description.abstractSpesML is an instantiation of the SPES methodology for cyber physical systems using SysML. However, SpesML is still under development and urgently requires evaluation with practical examples. This experience report describes our study of using SpesML for an anomaly detection system. The goals of the case study are to evaluate feasibility, benefits, and shortcomings of both the tool and the methodology iteratively at early stages of the project. The results are already promising with respect to both methodology and tool; however, the work continuously identifies suggestions for adaptations and future work regarding both.en
dc.identifier.doi10.18420/modellierung2022ws-011
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/38773
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2022 Satellite Events
dc.subjectModel-based Systems Engineering (MBSE)
dc.subjectIterative Development
dc.subjectSPES
dc.subjectSpesML
dc.titleModeling an Anomaly Detection System with SpesMLen
dc.typeText/Conference Paper
gi.citation.endPage120
gi.citation.publisherPlaceBonn
gi.citation.startPage106
gi.conference.date27.6. - 1.7.2022
gi.conference.locationHamburg
gi.conference.sessiontitleState of the Art Methods and Tools in Model-based Systems Engineering (SpesML'22)

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