End-to-end Timing Model Extraction from TSN-Aware Distributed Vehicle Software

Bahar Houtan, Mehmet Onur Aybek, M. Ashjaei, M. Daneshtalab, Mikael Sjödin, S. Mubeen
{"title":"End-to-end Timing Model Extraction from TSN-Aware Distributed Vehicle Software","authors":"Bahar Houtan, Mehmet Onur Aybek, M. Ashjaei, M. Daneshtalab, Mikael Sjödin, S. Mubeen","doi":"10.1109/SEAA56994.2022.00064","DOIUrl":null,"url":null,"abstract":"Extraction of end-to-end timing information from software architectures of vehicular systems to support their timing analysis is a daunting challenge. To address this challenge, this paper presents a systematic method to extract this information from vehicular software architectures that can be distributed over several electronic control units connected by Time-Sensitive Networking (TSN) networks. As a proof of concept, the proposed extraction method is applied to an industrial component model, namely the Rubus Component Model (RCM), and its toolchain. Furthermore, the usability of the proposed method is demonstrated in an industrial use case from the vehicular domain.","PeriodicalId":269970,"journal":{"name":"2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEAA56994.2022.00064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Extraction of end-to-end timing information from software architectures of vehicular systems to support their timing analysis is a daunting challenge. To address this challenge, this paper presents a systematic method to extract this information from vehicular software architectures that can be distributed over several electronic control units connected by Time-Sensitive Networking (TSN) networks. As a proof of concept, the proposed extraction method is applied to an industrial component model, namely the Rubus Component Model (RCM), and its toolchain. Furthermore, the usability of the proposed method is demonstrated in an industrial use case from the vehicular domain.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于tsn感知的分布式车辆软件端到端时序模型提取
从车辆系统的软件架构中提取端到端定时信息以支持其定时分析是一项艰巨的挑战。为了应对这一挑战,本文提出了一种系统的方法,从车辆软件架构中提取这些信息,这些信息可以分布在通过时间敏感网络(TSN)网络连接的多个电子控制单元上。作为概念验证,将提出的提取方法应用于工业组件模型,即Rubus组件模型(RCM)及其工具链。此外,在车辆领域的一个工业用例中验证了所提出方法的可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Service Classification through Machine Learning: Aiding in the Efficient Identification of Reusable Assets in Cloud Application Development Handling Environmental Uncertainty in Design Time Access Control Analysis How are software datasets constructed in Empirical Software Engineering studies? A systematic mapping study Microservices smell detection through dynamic analysis Towards Secure Agile Software Development Process: A Practice-Based Model
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1