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A Framework for Standardized Partitioning Analysis in Integrated Modular Avionics Systems

  • Jilu Zhang
  • , Yong Cai*
  • , Weikai Miao
  • , Zhouyang Wang
  • *此作品的通讯作者
  • East China Normal University
  • Queen's University Kingston

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

With the increasing adoption of the Integrated Modular Avionics (IMA) architecture, ensuring robust partitioning, a fundamental technique of this architecture, is crucial. Additionally, the benefits of reduced verification costs that robust partitioning provides for software verification on multicore processor platform are undeniable. However, robust partitioning faces various challenges posed by the time partitioning and space/resource partitioning of shared and dedicated resources, which can compromise robust partitioning. Although DO-297 describes what a partitioning analysis should contain, there is still no systematic and complete guide available for organizing and addressing partitioning analysis activities in public research. We propose a systematic framework to guide the performance of specific tasks within partitioning analysis, including identifying top-level partitioning properties, decomposing these properties, extracting all potential error sources, combining potential error sources with robust partitioning properties to identify vulnerabilities and verifying mitigation means.

源语言英语
主期刊名Software Fault Prevention, Verification, and Validation - 1st International Symposium, SFPVV 2024, Proceedings
编辑Shaoying Liu
出版商Springer Science and Business Media Deutschland GmbH
141-157
页数17
ISBN(印刷版)9789819616206
DOI
出版状态已出版 - 2025
活动1st International Symposium on Software Fault Prevention, Verification, and Validation, SFPVV 2024 - Hiroshima, 日本
期限: 2 12月 20243 12月 2024

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
15393 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议1st International Symposium on Software Fault Prevention, Verification, and Validation, SFPVV 2024
国家/地区日本
Hiroshima
时期2/12/243/12/24

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