loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Author: Stephan Rudolph

Affiliation: Institute for Aircraft Design, University of Stuttgart, Pfaffenwaldring 31, 70569 Stuttgart, Germany

Keyword(s): Artificial Intelligence, V-Model, Model-Based Systems Engineering.

Abstract: The enhancement of the standard V-Model of Model-Based Systems Engineering (MBSE) with methods from Artificial Intelligence (AI) is currently in the research focus of many universities and engineering companies. In the need to find new means to deal with the steadily increasing complexity in modern systems engineering and design of complex systems, traditional MBSE methods, most notably the standard V-Model of MBSE, is a candidate to be enriched with several AI methods. The work presented summarizes the experience gained with several AI methods in a machine-executable version of the V-Model of MBSE based on an graph-based design language approach to design automation and tries to summarize the resulting shift in the engineering burden and effort as well as the observed gains in design time and quality. Based on the results from engineering practice and some theoretical foundations underlying engineering as a branch of the natural sciences per se, an outlook is attempted on some neces sary aspects in future developments of AI for engineering applications. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.147.126.180

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Rudolph, S. (2024). On Some Artificial Intelligence Methods in the V-Model of Model-Based Systems Engineering. In Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering - MBSE-AI Integration; ISBN 978-989-758-682-8; ISSN 2184-4348, SciTePress, pages 386-393. DOI: 10.5220/0012639700003645

@conference{mbse-ai integration24,
author={Stephan Rudolph.},
title={On Some Artificial Intelligence Methods in the V-Model of Model-Based Systems Engineering},
booktitle={Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering - MBSE-AI Integration},
year={2024},
pages={386-393},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012639700003645},
isbn={978-989-758-682-8},
issn={2184-4348},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering - MBSE-AI Integration
TI - On Some Artificial Intelligence Methods in the V-Model of Model-Based Systems Engineering
SN - 978-989-758-682-8
IS - 2184-4348
AU - Rudolph, S.
PY - 2024
SP - 386
EP - 393
DO - 10.5220/0012639700003645
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic