Fault injection ecosystem for assisted safety validation of automotive systems

Sebastian Reiter, A. Viehl, O. Bringmann, W. Rosenstiel
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引用次数: 7

Abstract

The ever-increasing number of safety-related, complex, interconnected electronic systems results in new challenges. We propose a comprehensive fault injection ecosystem applicable along the design process to cope with these challenges. Simulation models are extended with fault injectors and used to assess the effects of faults. Our approach solves challenges specific to abstract system models and the reuse of existing simulation models. The proposed ecosystem consists of a system simulation infrastructure, a fault specification with dynamic fault injection, a fault effect classification and a graphical user interface. The simulation infrastructure enables the reuse and variation of simulation models and supports design space explorations. Our fault specification enables the specification and simulation of faults at different abstraction levels, especially at the abstract system level. The minimal invasive fault injection approach reduces the manual overhead when using existing simulation models and supports models of different abstraction levels. A failure classification extends the traditional verification methods. A graphical user interface simplifies the application and automatic code generation reduces the manual effort. The analysis of a driver assistance system demonstrates the usage of the proposed ecosystem.
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辅助汽车系统安全验证的故障注入生态系统
越来越多的与安全相关的、复杂的、相互连接的电子系统带来了新的挑战。我们提出了一个适用于整个设计过程的综合故障注入生态系统来应对这些挑战。将仿真模型扩展为故障注入器,并用于评估故障的影响。我们的方法解决了抽象系统模型和现有仿真模型重用的特定挑战。所提出的生态系统由系统仿真基础设施、带有动态故障注入的故障说明、故障效果分类和图形用户界面组成。仿真基础设施支持仿真模型的重用和变化,并支持设计空间探索。我们的故障规范支持在不同抽象级别,特别是在抽象系统级别对故障进行规范和模拟。最小侵入性故障注入方法减少了使用现有仿真模型时的人工开销,并支持不同抽象级别的模型。故障分类扩展了传统的验证方法。图形用户界面简化了应用程序,自动代码生成减少了手工工作。对驾驶员辅助系统的分析演示了所提出的生态系统的使用。
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