Results 41 to 50 of about 293 (166)

MBSE 2.0: Toward More Integrated, Comprehensive, and Intelligent MBSE

Systems
Model-Based Systems Engineering (MBSE) has gained significant attention from both industry and academia as an effective approach to managing product complexity. Despite its progress, current MBSE concepts, tools, languages, and methodologies face notable
Lin Zhang, Zhen Chen, Yuanjun Laili, Lei Ren, M. Jamal Deen, Wentong Cai, Yuteng Zhang, Yuqing Zeng, Pengfei Gu   +8 more
doaj   +1 more source

Traceability Support for Engineering Reviews of Horizontal Model Evolution

Systems Engineering, Volume 28, Issue 6, Page 720-736, November 2025.
ABSTRACT At its very core, model‐based systems engineering uses models to enable a multidisciplinary view on a system design in the early stages. These early stage models evolve horizontally: new diagrams for further perspectives and disciplines are added, using the same notation and the same abstraction level.
Johan Cederbladh, Eduard Kamburjan, David A. Manrique‐Negrin, Rakshit Mittal, Thomas Weber   +4 more
wiley   +1 more source

MBSE with/out Simulation: State of the Art and Way Forward

Systems, 2018
The limitations of model-based support for engineering complex systems include limited capability to develop multifaceted models as well as their analysis with robust reliable simulation engines.
Bernard P. Zeigler, Saurabh Mittal, Mamadou Kaba Traore   +2 more
doaj   +1 more source

Designing a Model-Based Systems Engineering (MBSE) Template for Satellites

, 2023
The goal of this project has been to digitally transform SDL systems engineering methods for scoping small satellite missions, developing system architectures, documenting the engineering solution, and verifying design solutions from being document-intensive (gathering non-transformable information in discrete, disjoint documents) to being model-based (
Walker, David, Christensen, Dan, Mercer, Brad, Payne, Gavin   +3 more
openaire   +1 more source

Spiral Approach for Non‐Software Product and Engineering System Development

Systems Engineering, Volume 28, Issue 6, Page 779-802, November 2025.
ABSTRACT This article explored the spiral development process, sometimes called “evolutionary acquisition” in military sectors, and reviewed major non‐software applications in the engineering literature. The spiral development process was originally developed for the design of software while minimizing and managing risk, but the principles can be ...
Isha Amod Gujarathi, William R. Norris, Albert E. Patterson   +2 more
wiley   +1 more source

Combining Model-Based Systems Engineering and Knowledge-Centric Systems Engineering to Design Reliable Systems in Practice

Applied Sciences
The use and importance of complex software-intensive systems are growing. As they are used in a wider range of situations in which dependability must be ensured, the reliability of the systems and of their components needs to be addressed throughout ...
Juan Manuel Morote, Jose Luis de la Vara, Giovanni Giachetti, Clara Ayora, Luis Alonso   +4 more
doaj   +1 more source

Application of Model-Based Systems Engineering Concepts to Support Mission Engineering

Systems, 2019
This paper presents an approach to the utilization of model-based systems engineering (MBSE) early in the system lifecycle, which focuses on early identification of desirable system characteristics to support mission engineering (ME). The paper relies on
Paul Beery, Eugene Paulo
doaj   +1 more source

Generating Logical Architectures from SysML Behavior Models

Systems Engineering, Volume 28, Issue 6, Page 762-778, November 2025.
ABSTRACT Modeling solution‐neutral operating principles of system features as SysML behavior models enable systems engineers to specify reusable product features for a variety of similar products and to specify and document a product's functionality in an easy‐to‐understand manner.
Christian Granrath, Christopher Kugler, Judith Michael, Bernhard Rumpe, Louis Wachtmeister   +4 more
wiley   +1 more source

Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert‐Like Systems Engineering Artifacts and a Characterization of Failure Modes

Systems Engineering, Volume 28, Issue 5, Page 583-604, September 2025.
ABSTRACT Multi‐purpose large language models (LLMs), a subset of generative artificial intelligence (AI), have recently made significant progress. While expectations for LLMs to assist systems engineering (SE) tasks are paramount; the interdisciplinary and complex nature of systems, along with the need to synthesize deep‐domain knowledge and ...
Taylan G. Topcu, Mohammed Husain, Max Ofsa, Paul Wach   +3 more
wiley   +1 more source

MBSE for Satellite Communication System Architecting

IEEE Access, 2019
The risk of failure for aerospace missions can be reduced if architects model the product in a systematic way and make decisions for physical implementation based on stakeholder needs.
Su Gao, Wei Cao, Luhai Fan, Jihong Liu
doaj   +1 more source