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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.

Context-aware large language models for ambiguity detection in requirements

Poulsen, Victor Vilhelm (1); Guertler, Matthias (1); Eisenbart, Boris (2); Tomidei, Laura (1); Sick, Nathalie (1)

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:
Poulsen, Victor Vilhelm (1); Guertler, Matthias (1); Eisenbart, Boris (2); Tomidei, Laura (1); Sick, Nathalie (1)
Series:
DESIGN
Institution:
1: University of Technology Sydney, Australia; 2: Swinburne University of Technology, Australia
Page(s):
2493-2502
DOI number:
10.1017/pds.2026.10607
ISSN:
2732-527X (Online)
Abstract:
Requirements quality shapes engineering design, yet natural language specifications remain vulnerable to ambiguity. We investigate how LLMs support ambiguity detection using a hybrid dataset combining NASA JWST requirements with systematically injected defects. Using auto-extracted domain knowledge, we compare a domain-agnostic baseline with a context-aware approach. Incorporating domain knowledge helps LLMs better distinguish genuinely ambiguous requirements from acceptable ones, highlighting the potential of context-aware AI assistants for requirements engineering and early-stage design.
Keywords:
requirements management, requirements engineering (RE), artificial intelligence (AI), systems engineering (SE), generative AI
DESIGN2026 - The 19th International Design Conference
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