MetaFS:模型驱动故障仿真框架

Endri Kaja, Nicolas Gerlin, Luis Rivas, M. Bora, Keerthikumara Devarajegowda, W. Ecker
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引用次数: 2

摘要

汽车行业对新技术的采用推动了电子元件供应商对集成到安全关键系统中的技术风险进行评估和审查的需求。为了应对这些挑战,工程师们一直在寻找高度自动化和高效的功能安全方法,以实现其设计所需的认证。本文提出了基于元模型的独立于仿真器的故障仿真框架MetaFS,该框架提供了统计故障注入、直接故障注入和穷举故障注入等多用途故障注入策略。该框架支持注入卡滞故障、单事件瞬态、单事件异常以及定时故障。提出的方法扩展到广泛的基于RISC-V的CPU子系统,支持各种RISC-V ISA标准扩展,以及额外的安全和安全相关的自定义指令扩展。子系统分别运行Dhrystone应用程序和一个特定的内部指纹计算应用程序。进行22种不同的故障模拟活动所需的最小工作量为1人/天,提供了有关子系统故障率的重要数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MetaFS: Model-driven Fault Simulation Framework
The adoption of new technologies by the automotive industry drives the need for electronic component suppliers to assess and scrutinize the risk of technologies that are being integrated into the safety-critical systems. To cope with these challenges, engineers are constantly looking for highly automated and efficient functional safety approaches to achieve the required certifications for their designs. In this paper, we propose MetaFS, a metamodel-based simulator-independent fault simulation framework that provides multi-purpose fault injection strategies such as statistical fault injection, direct fault injection, and exhaustive fault injection. The framework enables the injection of stuck-at faults, single-event transients, single-event upsets as well as timing faults. The proposed approach scales to a wide range of RISC-V based CPU subsystems with support for various RISC-V ISA standard extensions and, additional safety and security related custom instruction extensions. The subsystems were running the Dhrystone application and a specific in-house Fingerprint calculation application respectively. A minimal effort of 1 person-day was required to conduct 22 different fault simulation campaigns, providing significant data regarding subsystem failure rates.
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