Application of SysMLv1 vs SysMLv2 in the Scope of the MagicGrid Framework

Author:

Aleksandraviciene Aiste1,Strolia Zilvinas1,Jankauskas Osvaldas1

Affiliation:

1. Dassault Systemes Savanoriu 363 Kaunas Lithuania

Abstract

AbstractThis paper aims to assess the impact of the next generation Systems Modeling Language, SysMLv2, on MagicGrid, an established framework for the model‐based systems engineering (MBSE). The research involves the parallel application of SysMLv1 and SysMLv2 to build two models of the problem domain definition by following the steps defined by the framework. The paper compares the modeling concepts of both languages used to create the model, discloses differences, and assesses advantages and disadvantages over each other. While SysMLv2 offers both textual and graphical notations, this study primarily focuses on the graphical representation. The paper concludes with a comprehensive summary of distinctions observed in the application of SysMLv2 versus SysMLv1. As anticipated, SysMLv2 was found a completely fresh modeling language. Significant alterations has been observed in the use case specification and functional analysis. Additionally, the absence of explicit guidelines on the utilization of definitions and usages was identified.

Publisher

Wiley

Reference12 articles.

1. Aleksandraviciene A.&Morkevicius A.(2021).MagicGrid Book of Knowledge: A Practical Guide to Systems Modeling using MagicGrid from Dassault Systèmes 2nd Edition. Vitae Litera.

2. Modifying Hata-Davidson Propagation Model for Remote Sensing in Complex Environments Using a Multifactional Drone

3. Friedenthal S.(2023).Introduction to the SysML v2 Language Graphical Notation. Licensed under the Creative Commons Attribution 4.0 International License:https://creativecommons.org/licenses/by/4.0/

4. SysMLv2: Highlighting the Differences with SysMLv1;Friedenthal S.;PPI Systems Engineering Journal,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3