research-article

Data-flow-sensitive fault-space pruning for the injection of transient hardware faults

Authors:

Christian Dietrich,

Daniel LohmannAuthors Info & Claims

LCTES 2021: Proceedings of the 22nd ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems

Pages 97 - 109

https://doi.org/10.1145/3461648.3463851

Published: 22 June 2021 Publication History

Abstract

In the domain of safety-critical systems, fault injection campaigns on ISA-level have become a widespread approach to systematically assess the resilience of a system with respect to transient hardware faults. However, experimentally injecting all possible faults to achieve full fault-space coverage is infeasible in practice. Hence, pruning techniques, such as def/use pruning are commonly applied to reduce the campaign size by grouping injections that surely provoke the same erroneous behavior. We describe data-flow pruning, a new data-flow sensitive fault-space pruning method that extends on def/use-pruning by also considering the instructions’ semantics when deriving fault-equivalence sets. By tracking the information flow for each bit individually across the respective instructions and considering their fault-masking capability, data-flow pruning (DFP) has to plan fewer pilot injections as it derives larger fault-equivalence sets. Like def/use pruning, DFP is precise and complete and it can be used as a direct replacement/alternative in existing software-based fault-injection tools. Our prototypical implementation so far considers local fault equivalence for five types of instructions. In our experimental evaluation, this already reduces the number of necessary injections by up to 18 percent compared to def/use pruning.

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Cited By

Ko YBurgstaller BGrosser TDubach CSteuwer MXue JOttoni GQuintão Pereira F(2024)BEC: Bit-Level Static Analysis for Reliability against Soft ErrorsProceedings of the 2024 IEEE/ACM International Symposium on Code Generation and Optimization10.1109/CGO57630.2024.10444844(283-295)Online publication date: 2-Mar-2024
https://dl.acm.org/doi/10.1109/CGO57630.2024.10444844
Wu HYu SNiu XNie CPei YHe QYang Y(2023)Enhancing Fault Injection Testing of Service Systems via Fault-Tolerance BottleneckIEEE Transactions on Software Engineering10.1109/TSE.2023.328535749:8(4097-4114)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1109/TSE.2023.3285357
Dietrich CThomas TMnich M(2023)Checkpoint Placement for Systematic Fault-Injection Campaigns2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)10.1109/ICCAD57390.2023.10323809(1-9)Online publication date: 28-Oct-2023
https://doi.org/10.1109/ICCAD57390.2023.10323809

Index Terms

Data-flow-sensitive fault-space pruning for the injection of transient hardware faults
1. Hardware
  1. Hardware test
    1. Test-pattern generation and fault simulation
  2. Robustness
    1. Fault tolerance
      1. System-level fault tolerance

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cover image ACM Conferences

LCTES 2021: Proceedings of the 22nd ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems

June 2021

162 pages

ISBN:9781450384728

DOI:10.1145/3461648

General Chair:
Jörg Henkel
KIT, Germany
,
Program Chair:
Xu Liu
North Carolina State University, USA

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Published: 22 June 2021

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Cited By

Ko YBurgstaller BGrosser TDubach CSteuwer MXue JOttoni GQuintão Pereira F(2024)BEC: Bit-Level Static Analysis for Reliability against Soft ErrorsProceedings of the 2024 IEEE/ACM International Symposium on Code Generation and Optimization10.1109/CGO57630.2024.10444844(283-295)Online publication date: 2-Mar-2024
https://dl.acm.org/doi/10.1109/CGO57630.2024.10444844
Wu HYu SNiu XNie CPei YHe QYang Y(2023)Enhancing Fault Injection Testing of Service Systems via Fault-Tolerance BottleneckIEEE Transactions on Software Engineering10.1109/TSE.2023.328535749:8(4097-4114)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1109/TSE.2023.3285357
Dietrich CThomas TMnich M(2023)Checkpoint Placement for Systematic Fault-Injection Campaigns2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)10.1109/ICCAD57390.2023.10323809(1-9)Online publication date: 28-Oct-2023
https://doi.org/10.1109/ICCAD57390.2023.10323809

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