Identifying the adequate level of abstraction within structural modeling

Michael Roth, Daniel Kasperek, Udo Lindemann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Structural modeling is one of the concepts to handle the complexity of technical products in systems engineering. In the modeling process the choice of the abstraction level and grade of detail are influenced by uncertainties. Current methods support the identification of erroneous elements or dependencies, but support to identify the adequate abstraction level for these elements is missing. This paper presents an approach to identify the adequate level of abstraction. It uses domain mapping matrices and matrix multiplication to support the adjustment of the level of abstraction picking up the results of the approach of verifying the level of abstraction. The approach is applied within an industrial case study.

Original languageEnglish
Title of host publication8th Annual IEEE International Systems Conference, SysCon 2014 - Proceedings
PublisherIEEE Computer Society
Pages301-308
Number of pages8
ISBN (Print)9781479920877
DOIs
StatePublished - 2014
Event8th Annual IEEE International Systems Conference, SysCon 2014 - Ottawa, ON, Canada
Duration: 31 Mar 20143 Apr 2014

Publication series

Name8th Annual IEEE International Systems Conference, SysCon 2014 - Proceedings

Conference

Conference8th Annual IEEE International Systems Conference, SysCon 2014
Country/TerritoryCanada
CityOttawa, ON
Period31/03/143/04/14

Keywords

  • complexity management
  • domain mapping matrix
  • information acquisition
  • level of abstraction
  • uncertainty

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