Functional safety methodologies for automotive applications

Nardi, A.; Armato, Antonino

doi:10.1109/iccad.2017.8203886

Cited by 43 publications

(14 citation statements)

References 3 publications

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“…Fault Injection (FI) Simulation is a state-of-the-art method for Functional Safety Verification, being recommended by ISO26262. As such, several researchers explored the optimization of FI campaigns [5] [6][7] [8]. The main purpose is to show that fault effects are observable on safety-related outputs of the design.…”

Section: Introductionmentioning

confidence: 99%

Determined-Safe Faults Identification: A step towards ISO26262 hardware compliant designs

Silva

Bagbaba

Sartoni

et al. 2020

2020 IEEE European Test Symposium (ETS)

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The development of Integrated Circuits for the Automotive sector imposes on major challenges. ISO26262 compliance, as part of this process, entails complex analysis for the evaluation of potential random hardware faults. This paper proposes a systematic approach to identify faults that do not disrupt safety-critical functionalities and consequently can be considered Safe. By deploying code coverage and Formal verification techniques, our methodology enables the classification of faults that are unclassified by other technologies, improving ISO26262 compliance. Our results, in combination with Fault Simulation, achieved a Diagnostic Coverage of 93% in a CAN Controller. These figures allow an initial assessment for an ASIL B configuration of the IP.

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Section: Introductionmentioning

confidence: 99%

Determined-Safe Faults Identification: A step towards ISO26262 hardware compliant designs

Silva

Bagbaba

Sartoni

et al. 2020

2020 IEEE European Test Symposium (ETS)

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show abstract

“…[5] provides a broader look on specific reliability challenges for autonomous systems, for both automotive and robotics. The challenges of Functional Safety compliance, based on standards like ISO 26262, are also explored in research as [6], [7]. The authors point out Fault Injection (FI) Simulation as one of the critical steps for compliance with the standard.…”

Section: Introductionmentioning

confidence: 99%

Special Session: AutoSoC - A Suite of Open-Source Automotive SoC Benchmarks

Silva

Bagbaba

Ruospo

et al. 2020

2020 IEEE 38th VLSI Test Symposium (VTS)

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The current demands for autonomous driving generated momentum for an increase in research in the different technologies required for these applications. Nonetheless, the limited access to representative designs and industrial methodologies poses a challenge to the research community. Considering this scenario, there is a high demand for an open-source solution that could support development of research targeting automotive applications. This paper presents the current status of AutoSoC, an automotive SoC benchmark suite that includes hardware and software elements and is entirely open-source. The objective is to provide researchers with an industrial-grade automotive SoC that includes all essential components, is fully customizable, and enables analysis of functional safety solutions and automotive SoC configurations. This paper describes the available configurations of the benchmark including an initial assessment for ASIL B to D configurations.

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“…Moreover, the observability mechanism is completely different: a fault can be labeled as detected if it produced a wrong result in memory at the end of the Self-test procedure execution. This analysis is normally part of the Functional Safety Verification flow [22], [23]. Specifically, the fault grading of STLs becomes relevant during the Failure Modes Effects and Diagnostic Analysis (FMEDA) [23].…”

Section: Introductionmentioning

confidence: 99%

Fault Grading Techniques of Software Test Libraries for Safety-Critical Applications

2019

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The adoption of complex and technologically advanced integrated circuits (ICs) in safetycritical applications (e.g., in automotive) forced the introduction of new solutions to guarantee the achievement of the required reliability targets. One of these solutions lies in performing in-field test (i.e., the test performed when the device is already deployed in the mission environment) to detect faults that may arise in this phase of electronic circuit life. In this scenario, one increasingly adopted approach is based on the software test libraries (STLs), i.e., suitable code which is run by the CPU included in the system and is able to detect the existence of possible permanent faults both in the CPU itself and in the rest of the system. In order to assess the effectiveness of the STLs, fault simulation is performed, so that the achieved fault coverage (e.g., in terms of stuck-at faults) can be computed. This paper explains why the fault simulation of the STLs represents a different problem with respect to the classical fault simulation of test stimuli (for which very effective algorithms and tools are available), shows why it can be highly computationally expensive, and overviews some solutions to reduce the computational cost and possibly trade-off between results accuracy and cost.

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Functional safety methodologies for automotive applications

Cited by 43 publications

References 3 publications

Determined-Safe Faults Identification: A step towards ISO26262 hardware compliant designs

Determined-Safe Faults Identification: A step towards ISO26262 hardware compliant designs

Special Session: AutoSoC - A Suite of Open-Source Automotive SoC Benchmarks

Fault Grading Techniques of Software Test Libraries for Safety-Critical Applications

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