Sign inGet started
Paper · arXiv

Cross-Organizational SysML Model Integration: A Survey of Challenges and AI-Supported Tasks

Cross-organizational collaboration is widely regarded as a key promise of SysML-based Model-Based Systems Engineering (MBSE), yet practitioners still face persistent challenges when exchanging and integrating system models. In parallel, Large Language Models (LLMs) raise expectations for AI-assisted model understanding and integration, while reliability and required human oversight continue to pose challenges. This paper reports the results of an online questionnaire survey with 29 MBSE stakeholders involved in cross-organizational collaboration. Respondents rated eight predefined integration challenge categories and six AI-supported task types on five-point Likert scales. The results ind...

AuthorsZirui Li, Torsten Brix, Stephan Husung
Primary categorycs.SE
Published29 September 2026
Last updated at source29 September 2026
cs.SEcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/753e5459-6fca-4478-955b-166fabfc9d28" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.