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In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

Enabling AI-supported requirements engineering through model-based systems engineering and characteristics-properties modeling

Rahn, Fabian; Majumder, Anubhab; Kirchner, Eckhard

Type:
Papers
DS 145: Proceedings of the DESIGN2026 19th International Design Conference
Year:
2026
Editor:
Štorga, M.; Škec, S.; Martinec, T.; Marjanović, D.; Pavković, N.
Author:
Rahn, Fabian; Majumder, Anubhab; Kirchner, Eckhard
Series:
DESIGN
Institution:
Technical University of Darmstadt, Germany
Page(s):
2851-2860
DOI number:
10.1017/pds.2026.10643
ISSN:
2732-527X (Online)
Abstract:
High-quality requirements are essential for successful product development. This work proposes a model-based requirements engineering framework and AI-supported tool. The framework links design characteristics and measured properties via an OPM-based system model. This enables the implementation of a tool for systematic verification and validation of requirements in early product development stages, supporting the transition from experience- to data-/evidence-driven decision making and industry 4.0 paradigms. A hydraulic-press case-study demonstrates feasibility of the end-to-end workflow.
Keywords:
characteristics and properties, model-based systems engineering (MBSE), requirements engineering (RE), knowledge graph, large language model (LLM)
DESIGN2026 - The 19th International Design Conference
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