• DocumentCode
    3482169
  • Title

    Synthesis of Fault Detection Mechanisms TRACK: Real-Time, Embedded and Physical Systems

  • Author

    Sojer, Dominik

  • Author_Institution
    Dept. of Inf., Tech. Univ. Munchen, Garching, Germany
  • fYear
    2011
  • fDate
    18-22 July 2011
  • Firstpage
    700
  • Lastpage
    703
  • Abstract
    Model-driven software development is one possible solution to the problem of increasing code size and complexity in future safety-critical systems. The key is to generate most of the required source code automatically. A lot of research has been performed on this idea, however, as this is a very broad field, some problems are still unsolved. One of this unsolved problems is the synthesis of fault detection mechanisms. This paper presents an approach for this synthesis which consists of three contributions: meta-models and model-transformations for the generation and scheduling of fault detection mechanisms, a runtime environment for the online root-cause analysis of occurred failures and model transformations for the generation of required system documentation.
  • Keywords
    embedded systems; safety-critical software; software fault tolerance; source coding; system documentation; TRACK; code complexity; code size; embedded systems; failures; fault detection mechanisms; meta-models; model-driven software development; model-transformations; online root-cause analysis; physical systems; real-time systems; safety-critical systems; scheduling; source code generation; system documentation; Documentation; Fault detection; Hardware; Runtime; Safety; Schedules; Software; fault detection; model-driven development; safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference (COMPSAC), 2011 IEEE 35th Annual
  • Conference_Location
    Munich
  • ISSN
    0730-3157
  • Print_ISBN
    978-1-4577-0544-1
  • Electronic_ISBN
    0730-3157
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2011.108
  • Filename
    6032421