Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 18th Apr 2026, 04:05:00pm CEST
|
Agenda Overview |
| Session | ||
D414: KNOWLEDGE INTEGRATION AND METHODS IN MODEL-BASED SYSTEMS ENGINEERING
| ||
    | ||
Semantic fusion of SysML elements for model integration utilizing knowledge graphs 1Clausthal University of Technology, Germany; 2L3S Research Center, Leibniz Universität Hannover, Germany While top-down System Engineering supports the definition of system boundaries and interfaces, practical implementation often proceeds in a bottom-up manner, resulting in the need for model integration of SysML models. This is currently hindered by inconsistent naming, different abstraction levels, and unclear interfaces. In this work, a novel approach to integration is proposed, utilizing RDF knowledge graphs and LLM-driven entity alignment with similarity thresholds to perform semantic fusion. A practical use case shows correct consolidation based on cosine similarity thresholds. System architecture margins for the ilities 1Department of Mechanical Engineering, Chalmers University of Technology, Sweden; 2Department of Integrated Design and IRC for Smart Mobility and Logistics, King Fahd University of Petroleum and Minerals, Saudi Arabia Engineers often treat margins as buffers or excesses which are added to parameters, appearing much later in the product development process. However, many key lifecycle properties e.g., reliability stem from early architectural decisions which either need margins for their enablement or create margins in the process. These buffers are rarely treated explicitly as margins. This paper argues that there is a clear relationship between architectural objectives and margins and explores four examples of ilities providing a new perspective for reasoning about ilities in early system design. Navigating the landscape of MBSE methodologies: a comparative study of ISO 15288 technical process coverage École de technologie supérieure, Canada This paper compares nine Model-Based Systems Engineering methodologies with ISO 15288:2023 on the basis of their technical process coverage, to assess the extent to which the methodologies and standard are aligned. The technical processes covered include the definition of stakeholders, stakeholder needs, system requirements, architecture, design, verification, and validation. Two comparison criteria are also linked to the standard, namely, traceability and customisation. The results indicate that the definition of system requirements and system architecture are common core components of SE. A systematic literature review on AI-driven systems engineering assistants and the use of interaction design 1Paderborn University, Germany; 2Fraunhofer Institute for Mechatronic Systems Design, Germany Systems engineering continues to face challenges such as high manual modelling costs and insufficient tool support. With the rising importance of AI methods, SE assistants, software systems that support engineers in typical SE tasks, are gaining attention. However, there is currently no systematic classification of such assistants. At the same time, their usefulness depends heavily on the quality of the human AI interaction. This paper addresses these gaps by systematically categorising SE assistants and analysing the role of interaction design in their development and application. | ||
