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Fault Injection in the Automotive Standard ISO 26262: An Initial Approach

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Dependable Computing (EWDC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7869))

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Abstract

Complexity and criticality of automotive electronic embedded systems is steadily increasing today. A new standard —ISO 26262— recommends methods and techniques, such as fault injection, to improve safety. A first goal is to use fault injection earlier at the design stage, particularly on models providing an appropriate level of abstraction, to identify errors in the handling of safety requirements. A second objective is to use the results of these model-based analyzes to efficiently identify targets and check their implementation by fault injection. Hence, a verification approach, based on fault injection, has to be defined to complement conventional testing methods and analyzes traditionally used in automotive development process. The paper discusses the various steps of this approach, the link between abstraction and implementation, and gives a brief illustration on a real automotive application.

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References

  1. Avizienis, A., Laprie, J.-C., Randell, B., Landwehr, C.: Basic concepts and taxonomy of dependable and secure computing. IEEE Transactions on Dependable and Secure Computing 1(1), 11–33 (2004)

    Article  Google Scholar 

  2. Bouti, A., Kadi, D.A.: A state-of-the-art review of fmea/fmeca. Int. Journal of Reliability, Quality and Safety Engineering 1(04), 515–543 (1994)

    Article  Google Scholar 

  3. Carreira, J., Madeira, H., Silva, J.: Xception: A technique for the experimental evaluation of dependability in modern computers. IEEE Transactions on Software Engineering 24(2), 125–136 (1998)

    Article  Google Scholar 

  4. Cotroneo, D., Lanzaro, A., Natella, R., Barbosa, R.: Experimental analysis of binary-level software fault injection in complex software. In: 2012 Ninth European Dependable Computing Conference, pp. 162–172. IEEE (2012)

    Google Scholar 

  5. Hsueh, M., Tsai, T., Iyer, R.: Fault injection techniques and tools. Computer 30(4), 75–82 (1997)

    Article  Google Scholar 

  6. Jenn, E., Arlat, J., Rimen, M., Ohlsson, J., Karlsson, J.: Fault injection into vhdl models: the mefisto tool. In: Digest of Papers Twenty-Fourth International Symposium on Fault-Tolerant Computing, FTCS-24, pp. 66–75. IEEE (1994)

    Google Scholar 

  7. Karlsson, J., Liden, P., Dahlgren, P., Johansson, R., Gunneflo, U.: Using heavy-ion radiation to validate fault-handling mechanisms. IEEE Micro 14(1), 8–23 (1994)

    Article  Google Scholar 

  8. Koopman, P., Sung, J., Dingman, C., Siewiorek, D., Marz, T.: Comparing operating systems using robustness benchmarks. In: Proceedings of The Sixteenth Symposium on Reliable Distributed Systems, pp. 72–79. IEEE (1997)

    Google Scholar 

  9. Rugina, A.-E., Kanoun, K., Kaaniche, M.: The adapt tool: From aadl architectural models to stochastic petri nets through model transformation. In: Seventh European Dependable Computing Conference, EDCC 2008, pp. 85–90 (2008)

    Google Scholar 

  10. Rugina, A.-E., Kanoun, K., Kaaniche, M.: Software dependability modeling using aadl (architecture analysis and design language). International Journal of Performability Engineering 7(4), 313 (2011)

    Google Scholar 

  11. Shafik, R.A., Rosinger, P., Al-Hashimi, B.M.: Systemc-based minimum intrusive fault injection technique with improved fault representation. In: 14th IEEE Intl. On-Line Testing Symposium, IOLTS 2008, pp. 99–104. IEEE (2008)

    Google Scholar 

  12. Svenningsson, R.: Model-implemented fault injection for robustness assessment. QC 20111205 (2011)

    Google Scholar 

  13. Vinter, J., Bromander, L., Raistrick, P., Edler, H.: Fiscade-a fault injection tool for scade models. In: 2007 3rd Institution of Engineering and Technology Conference on Automotive Electronics, pp. 1–9. IET (2007)

    Google Scholar 

  14. Winter, S., Sârbu, C., Murphy, B., Suri, N.: The impact of fault models on software robustness evaluations. In: 2011 33rd International Conference on Software Engineering, ICSE, pp. 51–60. IEEE (2011)

    Google Scholar 

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Pintard, L., Fabre, JC., Kanoun, K., Leeman, M., Roy, M. (2013). Fault Injection in the Automotive Standard ISO 26262: An Initial Approach. In: Vieira, M., Cunha, J.C. (eds) Dependable Computing. EWDC 2013. Lecture Notes in Computer Science, vol 7869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38789-0_11

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  • DOI: https://doi.org/10.1007/978-3-642-38789-0_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38788-3

  • Online ISBN: 978-3-642-38789-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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