• DocumentCode
    726314
  • Title

    Analysis and RTL correlation of instruction set simulators for automotive microcontroller robustness verification

  • Author

    Espinosa, Jaime ; Hernandez, Carles ; Abella, Jaume ; de Andres, David ; Ruiz, Juan Carlos

  • Author_Institution
    Univ. Politec. de Valencia, València, Spain
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Increasingly complex microcontroller designs for safety-relevant automotive systems require the adoption of new methods and tools to enable a cost-effective verification of their robustness. In particular, costs associated to the certification against the ISO26262 safety standard must be kept low for economical reasons. In this context, simulation-based verification using instruction set simulators (ISS) arises as a promising approach to partially cope with the increasing cost of the verification process as it allows taking design decisions in early design stages when modifications can be performed quickly and with low cost. However, it remains to be proven that verification in those stages provides accurate enough information to be used in the context of automotive microcontrollers. In this paper we analyze the existing correlation between fault injection experiments in an RTL microcontroller description and the information available at the ISS to enable accurate ISS-based fault injection.
  • Keywords
    automotive electronics; instruction sets; microcontrollers; ISS-based fault injection; RTL correlation; automotive microcontroller robustness verification; complex microcontroller designs; cost-effective verification; instruction set simulators; simulation-based verification; Automotive engineering; Benchmark testing; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (DAC), 2015 52nd ACM/EDAC/IEEE
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1145/2744769.2744798
  • Filename
    7167224