34th Design for X Symposium (DFX 2023)
DfX offers young scientists from the field of product development a platform for presenting new ideas and approaches to their research. (Abstract Submissions by 26 May 2023)
Knowledge Base Repository
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.
AI-based extraction of requirements from regulations for automotive engineering
Iris Gräßler, Deniz Ozcan, Daniel Preuß
Type:
Year:
2023
Editor:
Dieter Krause, Kristin Paetzold-Byhain, Sandro Wartzack
Author:
Series:
DfX
Institution:
Heinz Nixdorf Institute, Chair of Product Creation, Paderborn University
Page(s):
163-172
DOI number:
Abstract:
Automotive engineering requires compliance with regulations for certification. In specifications, regulations are referenced, which need to be analyzed manually to elicit requirements. This process is time-consuming and leads to high costs. The aim of this research is to evaluate artificial intelligence (AI) models in terms of extracting requirements automatically from regulations. Relevant AI models are identified in a systematic literature analysis and evaluated using success criteria. The most promising AI models are implemented in a pipeline for requirements extraction. The performance of these AI models is assessed in a comparative study using automotive regulations. The results show which AI models are best suited for this task.
Keywords:
