Systems Engineering Methodologies and Applications

Últimos artículos

• Cross-Organizational SysML Model Integration: A Survey of Challenges and AI-Supported Tasks

  Zirui Li, Torsten Brix, Stephan Husung · 30 de septiembre de 2026

  Cross-organizational collaboration is widely regarded as a key promise of SysML-based Model-Based Systems Engineering (MBSE), yet practitioners still face persistent challenges when exchanging and integrating system models. In parallel, Large Language Models (LLMs) raise expectations for AI-assisted…

• Toward AI-Augmented Cooperative Engineering Workflows: Requirements and Architecture the European Rover Challenge

  Ahmed R. Sadik, Frank Joublin, Mariusz Bujny, Antonello Ceravola, Joan Smith · 28 de septiembre de 2026

  The growing availability of Artificial Intelligence (AI) tools creates new opportunities to support engineering design processes, yet their current use often remains limited to isolated tasks such as coding, documentation, or information retrieval. Less attention has been given to how AI can support…

• Models as Governed Interfaces for AI-Native MBSE: Read-Side Adequacy and Write-Side Admissibility

  Jason Gower, Michael J. de C. Henshaw, Siyuan Ji · 23 de septiembre de 2026

  Machine-readable models such as SysML v2 are now programmatically accessible, and a growing body of work treats that access as the enabling condition for AI participation in systems engineering. Access is necessary, but not sufficient. The remaining work lies not in the modelling language but in the…

• Natural-Language to SysMLv2 Translation via Conformance-Driven Iterative Refinement

  Chance LaVoie, Eladio Andujar Lugo, Taylan G. Topcu, Levent Burak Kara · 15 de septiembre de 2026

  Model-Based Systems Engineering (MBSE) relies on formal system models as primary technical artifacts for representing requirements, structure, and behavior across the system lifecycle. With the standardization of SysMLv2 as a textual language, interest is increasing in translating natural-language d…

• Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation

  Niels Potters, Theo Hofman · 8 de julio de 2026

  This paper presents a black-box evaluation framework to systematically assess the ability of Large Language Models (LLMs) to generate Design Structure Matrices (DSMs) from structured technical documentation. Motivated by the closed-source nature of current Auto-DSM pipelines, the framework introduce…

• LLM-Assisted Semantic Alignment and Integration in Collaborative Model-Based Systems Engineering Using SysML v2

  Zirui Li, Stephan Husung, Haoze Wang · 7 de julio de 2026

  Cross-organizational collaboration in Model-Based Systems Engineering (MBSE) faces many challenges in achieving semantic alignment across independently developed system models. SysML v2 introduces enhanced structural modularity and formal semantics, offering a stronger foundation for interoperable m…

• Text to model via SysML: Automated generation of dynamical system computational models from unstructured natural language text via enhanced System Modeling Language diagrams

  Matthew Anderson Hendricks, Alice Cicirello · 24 de abril de 2026

  This paper contributes to speeding up the design and deployment of engineering dynamical systems by proposing a strategy for exploiting domain and expert knowledge for the automated generation of a dynamical system computational model starting from a corpus of documents relevant to the dynamical sys…

• AI-Assisted Requirements Engineering: An Empirical Evaluation Relative to Expert Judgment

  Oz Levy, Ilya Dikman, Natan Levy, Michael Winokur · 17 de abril de 2026

  Artificial Intelligence is increasingly introduced into systems engineering activities, particularly within requirements engineering, where quality assessment and validation remain heavily dependent on expert judgment. While recent AI tools demonstrate promising capabilities in analyzing and generat…

• GENAI WORKBENCH: AI-Assisted Analysis and Synthesis of Engineering Systems from Multimodal Engineering Data

  H. Sinan Bank, Daniel R. Herber · 3 de marzo de 2026

  Modern engineering design platforms excel at discipline-specific tasks such as CAD, CAM, and CAE, but often lack native systems engineering frameworks. This creates a disconnect where system-level requirements and architectures are managed separately from detailed component design, hindering holisti…

• Retrieval Augmented (Knowledge Graph), and Large Language Model-Driven Design Structure Matrix (DSM) Generation of Cyber-Physical Systems

  H. Sinan Bank, Daniel R. Herber · 20 de febrero de 2026

  We explore the potential of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Graph-based RAG (GraphRAG) for generating Design Structure Matrices (DSMs). We test these methods on two distinct use cases -- a power screwdriver and a CubeSat with known architectural references -- …

• Probabilistic Mission Design for Neuro-Symbolic Unmanned Aircraft Systems

  Simon Kohaut, Benedict Flade, Daniel Ochs, Devendra Singh Dhami, Julian Eggert, Kristian Kersting · 19 de enero de 2026

  Advanced Air Mobility (AAM) is a growing field that demands accurate and trustworthy models of legal concepts and restrictions for navigating Unmanned Aircraft Systems (UAS). In addition, any implementation of AAM needs to face the challenges posed by inherently dynamic and uncertain human-inhabited…

• AI- and Ontology-Based Enhancements to FMEA for Advanced Systems Engineering: Current Developments and Future Directions

  Haytham Younus, Sohag Kabir, Felician Campean, Pascal Bonnaud, David Delaux · 25 de noviembre de 2025

  This article presents a state-of-the-art review of recent advances aimed at transforming traditional Failure Mode and Effects Analysis (FMEA) into a more intelligent, data-driven, and semantically enriched process. As engineered systems grow in complexity, conventional FMEA methods, largely manual, …