Improving the Model-Based Systems Engineering Process

Author:

Wenckstern Michael von

Abstract

AbstractModern embedded software systems are becoming more and more complex. Engineering embedded systems raise specific challenges that are rarely present in other software engineering disciplines due to the systems’ steady interactions with their environment. Research and industry often describe embedded systems as component and connector models (C&C). C&C models describe the logical architecture by focusing on software features and their logical communications. In C&C models, hierarchical decomposed components encapsulate features, and connectors model the data flow between components via typed ports. As extra-functional properties, for example, safety and security, are also key features of embedded systems, C&C models are mostly enriched with them. However, the process to develop, understand, validate, and maintain large C&C models for complex embedded software is onerous, time consuming, and cost intensive. Hence, the aim of this chapter is to support the automotive software engineer with: (i) automatic consistency checks of large C&C models, (ii) automatic verification of C&C models against design decisions, (iii) tracing and navigating between design and implementation models, (iv) finding structural inconsistencies during model evolution, (v) presenting a flexible approach to define different extra-functional properties for C&C models, and (vi) providing a framework to formalize constraints on C&C models for extra-functional properties for automatic consistency checks.

Funder

Gesellschaft für Informatik e.V.

Publisher

Springer International Publishing

Reference24 articles.

1. Bertram, V., Maoz, S., Ringert, J.O., Rumpe, B., von Wenckstern, M.: Component and connector views in practice: an experience report. In: Conference on Model Driven Engineering Languages and Systems (MODELS’17), pp. 167–177. IEEE, Piscataway (2017). http://www.se-rwth.de/publications/Component-and-Connector-Views-in-Practice-An-Experience-Report.pdf

2. Borgmann, M.: Matrix taxonomy (2006). https://www.nari.ee.ethz.ch/teaching/ha/handouts/linalg3p.pdf

3. Brenner, C.: How to ensure functional safety, according to ISO 26262 (2013). https://blogs.itemis.com/en/how-to-ensure-functional-safety-according-to-iso-26262. Accessed 29 April 2021

4. Cheng, C.H.: autoCode4 integrated inside Ptolemy II (ver. 11.0.devel) (2016). https://youtu.be/ImSHmsnUyeA?t=34s. Accessed 31 July 2018

5. Desgraupes, B.: Clustering indices. Univ. Paris Ouest-Lab Modal’X 1, 34 (2013)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. V2X Communication Based System Development: Application on Intersection Assist with Co-Simulation;2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA);2022-12-19

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