NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PUBLICATIONS

Conceptual Modeling

Published

Author(s)

Conrad E. Bock, Fatma Dandashi, Sanford Friedenthal, Natalie Harrison, Steven Jenkins, Leon McGinnis, Janos Sztipanovits, Adelinde Uhrmacher, Eric Weisel, Lin Zhang

Abstract

Understanding and developing complex systems requires collaboration between individuals with widely varying expertise. Communication between these individuals is facilitated by conceptual models. Conceptual models are early stage artifacts that integrate and provide requirements for many kinds of specialized models. They are living documents that grow from informal descriptions to formal specifications, used to detect omissions, inconsistencies, and ambiguities inherent in informal models, as well as guide development of computational models. Conceptual models describe what is to be represented, the assumptions limiting those representations, and other capabilities needed to satisfy modeler requirements. Advances in conceptual modeling are essential for effective collaboration and cost-effective, error-free translation of models to suitable computer representations. Developing an engineering discipline of conceptual modeling will require much better understanding of (1) how to make conceptual models explicit and unambiguous, for both the target system and the target analysis, (2) processes for conceptual modeling, including communication and decision-making involving multiple stakeholders, (3) architectures and services for building conceptual models. This chapter outlines research issues for these three topics in conceptual modeling.
Citation
Research Challenges in Modeling and Simulation for Engineering Complex Systems
Publisher Info
Springer, N/A, NY
Pub Type
Book Chapters

Download Paper

https://doi.org/10.1007/978-3-319-58544-4_3
Information technology, Manufacturing, Manufacturing systems design and analysis and Modeling and simulation research

Citation

Bock, C. , Dandashi, F. , Friedenthal, S. , Harrison, N. , Jenkins, S. , McGinnis, L. , Sztipanovits, J. , Uhrmacher, A. , Weisel, E. and Zhang, L. (2017), Conceptual Modeling, Research Challenges in Modeling and Simulation for Engineering Complex Systems, Springer, N/A, NY, [online], https://doi.org/10.1007/978-3-319-58544-4_3 (Accessed October 3, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created August 19, 2017, Updated November 10, 2018
Was this page helpful?