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Model-Based Systems Engineering Uptake in Engineering Practice

IEEE Transactions on Engineering Management, 2020
Modeling is ubiquitous in engineering, but data on model use and user sophistication in engineering-driven firms are remarkably sparse. Some authors have predicted a sea change in engineering workflow through model-based systems engineering. Despite benefits, the prevalence of effective modeling techniques in industry is an open question.
Bruce G. Cameron, Daniel Mark Adsit
openaire   +3 more sources

A Bibliometric Analysis on Model-based Systems Engineering [PDF]

open access: yes2021 IEEE International Symposium on Systems Engineering (ISSE), 2021
Model-based systems engineering (MBSE) has been accepted as an extremely important approach to understanding the multi-domain research field comprehensively. In this paper, a bibliometric analysis is used to conduct a comprehensive survey of model-based systems engineering literature of the last five years.
Zihang Li   +5 more
core   +4 more sources

State‐of‐practice survey of model‐based systems engineering [PDF]

open access: yesSystems Engineering, 2019
This paper aims to examine and document the current state of practice of model-based systems engineering (MBSE), and how organizations look toward the future.
Ivan Stenius
exaly   +2 more sources

Model-based requirements engineering for system of systems

2012 7th International Conference on System of Systems Engineering (SoSE), 2012
Model-based systems engineering is a discipline of systems engineering where a model forms the heart of all the systems engineering activities and is the basis of many of the project artefacts. Systems modelling is no longer viewed as simply a ‘good idea’ but is, however, increasingly become an essential part of any systems engineering project. Indeed,
Holt, Jon   +5 more
openaire   +2 more sources

Reuse in model-based systems engineering

2015 Annual IEEE Systems Conference (SysCon) Proceedings, 2015
In model-based systems engineering, systems are built as models. Models are abstractions, since they are not the real physical parts, but a data representation of then in a computer. As such, it is tempting to establish a methodology and a system in which models can be shared among projects.
Uri Shani, Henry Broodney
openaire   +1 more source

Foundations for Model-Based Engineering of Systems of Systems

2014
The engineering of Systems of Systems presents daunting challenges. In this paper it is argued that rigorous semantic foundations for model-based techniques are potentially beneficial in addressing these. Three priorities for current research are identified: contractual interface definition, the verification of emergent behaviour, and the need to deal ...
John S. Fitzgerald   +2 more
openaire   +2 more sources

Ontology for Systems Engineering: Model-Based Systems Engineering

2012 Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation, 2012
This paper presents an ontology for systems engineering, by means of a set of information models based on a modelling methodology derived from and a simplification of the ISO 15926 part 2 data model. The methodology matches the way people think and communicate and is designed specifically to be useful for engineers.
openaire   +1 more source

Introducing Model-Based System Engineering Transforming System Engineering through Model-Based Systems Engineering

2014
Abstract : In 2013, Naval Air Systems Command (NAVAIR) at the Naval Air Station, Patuxent River, Maryland initiated a research task (RT-48) to assess the technical feasibility of creating/leveraging a more holistic Model-Based Systems Engineering (MBSE) approach to support Mission-based Analysis and Engineering in order to achieve a 25% reduction in ...
Eirik Hole   +3 more
openaire   +1 more source

Model-Based System Concurrent Engineering

2012
This work aims to propose the Model-Based Systems Concurrent Engineering (MBSCE) approach. MBSCE is the formalized application of modeling to support integrated and concurrent development of a complex product and their performing organizations. It takes in consideration, from the outset, life cycle process and organization requirements which, together ...
Giuliani Paulineli Garbi   +1 more
openaire   +1 more source

Augmenting model-based systems engineering with knowledge

Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2022
This article presents a general approach for the integration of Knowledge Bases into Model-Based Systems Engineering tools. In existing tools, domain-specific modeling languages are well supported. However when it comes to enforcing design constraints, existing approaches are verbose, it is difficult to be complete and consistent, and the reuse of ...
Medinacelli, Luis Palacios   +2 more
openaire   +2 more sources

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