Verifying the abstraction level of structural models

Michael Roth; Daniel Kasperek; Udo Lindemann

doi:10.1016/j.procs.2014.03.061

Verifying the abstraction level of structural models

Michael Roth, Daniel Kasperek, Udo Lindemann

Chair of Product Development and Lightweight Design

Technical University of Munich

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

Structural modeling is one of the concepts in systems engineering to handle the complexity of technical products In the process of modeling the choice of the abstraction level and the grade of detail are afflicted with uncertainties Current methods support in identifying wrong elements or dependencies but support during the verification of the abstraction level is missing This paper presents an approach to identify errors and not adequately chosen levels of abstraction Using domain mapping matrices and matrix-multiplication, the approach supports the identification of elements, whose definition should be reconsidered The approach is applied within an industrial case study

Original language	English
Pages (from-to)	497-504
Number of pages	8
Journal	Procedia Computer Science
Volume	28
DOIs	https://doi.org/10.1016/j.procs.2014.03.061
State	Published - 2014
Event	12th Annual Conference on SystemsEngineering Research, CSER 2014 - Redondo Beach, CA, United States Duration: 21 Mar 2014 → 22 Mar 2014

Keywords

Complexity management
Domain mapping matrix
Information acquisition
Level of abstraction
Uncertainty

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10.1016/j.procs.2014.03.061

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KW - Domain mapping matrix

KW - Information acquisition

KW - Level of abstraction

KW - Uncertainty

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JF - Procedia Computer Science

T2 - 12th Annual Conference on SystemsEngineering Research, CSER 2014

Y2 - 21 March 2014 through 22 March 2014

ER -

Verifying the abstraction level of structural models

Abstract

Keywords

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