System Architects Are not Alone Anymore: Automatic System Modeling with AI

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

System development cycles typically follow a V-cycle, where modelers first analyze a system specification before proposing its design. When utilizing SysML, this process predominantly involves transforming natural language (the system specification) into various structural and behavioral views employing SysML diagrams. With their proficiency in interpreting natural text and generating results in predetermined formats, Large Language Models (LLMs) could assist such development cycles. This paper introduces a framework where LLMs can be leveraged to automatically construct both structural and behavioral SysML diagrams from system specifications. Through multiple examples, the paper underscores the potential utility of LLMs in this context, highlighting the necessity for feeding these models with a well-defined knowledge base and an automated feedback loop for better outcomes.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Model-Based Software and Systems Engineering
EditorsFrancisco José Domínguez Mayo, Luís Ferreira Pires, Edwin Seidewitz
PublisherScience and Technology Publications, Lda
Pages27-38
Number of pages12
ISBN (Print)9789897586828
DOIs
Publication statusPublished - 1 Jan 2024
Event12th International Conference on Model-Based Software and Systems Engineering, MODELSWARD 2024 - Rome, Italy
Duration: 21 Feb 202423 Feb 2024

Publication series

NameInternational Conference on Model-Driven Engineering and Software Development
Volume1
ISSN (Electronic)2184-4348

Conference

Conference12th International Conference on Model-Based Software and Systems Engineering, MODELSWARD 2024
Country/TerritoryItaly
CityRome
Period21/02/2423/02/24

Keywords

  • Analysis
  • Artificial Intelligence
  • Design
  • LLM
  • Modeling
  • Verification

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