• DocumentCode
    190707
  • Title

    Embedded software reliability for unreliable hardware

  • Author

    Jian-Jia Chen ; Shafique, Muhammad

  • Author_Institution
    Dept. of Inf., Tech. Univ. Dortmund, Dortmund, Germany
  • fYear
    2014
  • fDate
    12-17 Oct. 2014
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    While advancements in chip manufacturing technology has accelerated the growth of embedded systems, it has revealed serious reliability and robustness challenges at various abstraction levels that threaten the applicability of scaled technologies [2, 3]. These reliability threats arise from multiple sources, and may result in faults in the hardware. Further-more, these faults in the hardware may have catastrophic effects on the correctness of software execution [9, 11, 14]. This is particularly the case for real-time and timing-critical embedded systems involved in safety-, and mission-critical systems [13]. This occurs because traditional software abstraction layers make the fundamental assumption that the underlying hardware platform is error-free, and completely reliable. This is, however, no longer the case. In order to mitigate various reliability threats, besides hardware-level techniques, it is critical to develop and design resiliency at various layers of the embedded software stack [2, 3].
  • Keywords
    embedded systems; program diagnostics; safety-critical software; software reliability; catastrophic effects; chip manufacturing technology; embedded software reliability; embedded software stack; hardware-level techniques; mission-critical systems; real-time embedded systems; reliability threats; safety-critical systems; scaled technologies; software abstraction layers; software execution correctness; timing-critical embedded systems; unreliable hardware; Embedded software; Embedded systems; Hardware; Real-time systems; Software reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Software (EMSOFT), 2014 International Conference on
  • Conference_Location
    Jaypee Greens
  • Type

    conf

  • DOI
    10.1145/2656045.2661649
  • Filename
    6986112