A Classification Method for the Systematic Identification of Models and Workflows in MBSE

Gregor Höpfner; Julia Kowalski; Clemens Faustmann; Thilo Zerwas; Philipp Kranabitl; Seyedmohammad Vafaei; Georg Jacobs; Hannes Hick

doi:10.35199/dfx2022.17

A Classification Method for the Systematic Identification of Models and Workflows in MBSE

Gregor Höpfner^*, Julia Kowalski, Clemens Faustmann, Thilo Zerwas, Philipp Kranabitl, Seyedmohammad Vafaei, Georg Jacobs, Hannes Hick

^*Corresponding author for this work

Institute of Machine Components and Methods of Development (3100)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

Modern engineering uses models for virtual verification of systems. Such models are usually combined in workflows, where the results of models are linked to verify system requirements. Model-Based Systems Engineering (MBSE) has evolved as an approach to ease the usage of models and workflows. One goal in MBSE is to reuse models and workflows from libraries. However, the step of identifying and classifying both models and workflows for such a library is not yet systematized. We propose a method on how to identify models and workflows for an MBSE model library. Possible purposes of models are identified and afterwards models satisfying that purpose are retrieved. The identified models are systematically combined to workflows. Thereby a systematic approach to create a model library is given.

Original language	English
Title of host publication	DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022)
Editors	Dieter Krause, Kristin Paetzold, Sandro Wartzack
Number of pages	10
DOIs	https://doi.org/10.35199/dfx2022.17
Publication status	Published - Oct 2022
Event	33rd Symposium Design for X: DFX 2022 - Hamburg, Germany Duration: 22 Sept 2022 → 23 Sept 2022

Conference

Conference	33rd Symposium Design for X
Abbreviated title	DFX 2022
Country/Territory	Germany
City	Hamburg
Period	22/09/22 → 23/09/22

Keywords

MBSE
Model Libraries
Model Classification
Workflows

Fields of Expertise

Sonstiges

Access to Document

10.35199/dfx2022.17

Cite this

A Classification Method for the Systematic Identification of Models and Workflows in MBSE. / Höpfner, Gregor; Kowalski, Julia; Faustmann, Clemens et al.
DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022). ed. / Dieter Krause; Kristin Paetzold; Sandro Wartzack. 2022.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Höpfner, G, Kowalski, J, Faustmann, C, Zerwas, T, Kranabitl, P, Vafaei, S, Jacobs, G & Hick, H 2022, A Classification Method for the Systematic Identification of Models and Workflows in MBSE. in D Krause, K Paetzold & S Wartzack (eds), DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022). 33rd Symposium Design for X, Hamburg, Germany, 22/09/22. https://doi.org/10.35199/dfx2022.17

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title = "A Classification Method for the Systematic Identification of Models and Workflows in MBSE",

abstract = "Modern engineering uses models for virtual verification of systems. Such models are usually combined in workflows, where the results of models are linked to verify system requirements. Model-Based Systems Engineering (MBSE) has evolved as an approach to ease the usage of models and workflows. One goal in MBSE is to reuse models and workflows from libraries. However, the step of identifying and classifying both models and workflows for such a library is not yet systematized. We propose a method on how to identify models and workflows for an MBSE model library. Possible purposes of models are identified and afterwards models satisfying that purpose are retrieved. The identified models are systematically combined to workflows. Thereby a systematic approach to create a model library is given.",

keywords = "MBSE, Model Libraries, Model Classification, Workflows",

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year = "2022",

month = oct,

doi = "10.35199/dfx2022.17",

language = "English",

editor = "Krause, {Dieter } and Paetzold, {Kristin } and Sandro Wartzack",

booktitle = "DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022)",

note = "33rd Symposium Design for X : DFX 2022, DFX 2022 ; Conference date: 22-09-2022 Through 23-09-2022",

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AU - Höpfner, Gregor

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AU - Zerwas, Thilo

AU - Kranabitl, Philipp

AU - Vafaei, Seyedmohammad

AU - Jacobs, Georg

AU - Hick, Hannes

PY - 2022/10

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N2 - Modern engineering uses models for virtual verification of systems. Such models are usually combined in workflows, where the results of models are linked to verify system requirements. Model-Based Systems Engineering (MBSE) has evolved as an approach to ease the usage of models and workflows. One goal in MBSE is to reuse models and workflows from libraries. However, the step of identifying and classifying both models and workflows for such a library is not yet systematized. We propose a method on how to identify models and workflows for an MBSE model library. Possible purposes of models are identified and afterwards models satisfying that purpose are retrieved. The identified models are systematically combined to workflows. Thereby a systematic approach to create a model library is given.

AB - Modern engineering uses models for virtual verification of systems. Such models are usually combined in workflows, where the results of models are linked to verify system requirements. Model-Based Systems Engineering (MBSE) has evolved as an approach to ease the usage of models and workflows. One goal in MBSE is to reuse models and workflows from libraries. However, the step of identifying and classifying both models and workflows for such a library is not yet systematized. We propose a method on how to identify models and workflows for an MBSE model library. Possible purposes of models are identified and afterwards models satisfying that purpose are retrieved. The identified models are systematically combined to workflows. Thereby a systematic approach to create a model library is given.

KW - MBSE

KW - Model Libraries

KW - Model Classification

KW - Workflows

U2 - 10.35199/dfx2022.17

DO - 10.35199/dfx2022.17

M3 - Conference paper

BT - DS 119: Proceedings of the 33rd Symposium Design for X (DFX2022)

A2 - Krause, Dieter

A2 - Paetzold, Kristin

A2 - Wartzack, Sandro

T2 - 33rd Symposium Design for X

Y2 - 22 September 2022 through 23 September 2022

ER -

A Classification Method for the Systematic Identification of Models and Workflows in MBSE

Abstract

Conference

Keywords

Fields of Expertise

Access to Document

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Cite this