• DocumentCode
    3578877
  • Title

    Measuring the constraint complexity of automotive embedded software systems

  • Author

    Garg, Mohit ; Lai, Richard

  • Author_Institution
    Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Melbourne, VIC, Australia
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The rapid growth of software-based functionalities has made automotive Electronic Control Units (ECUs) significantly complex. Factors affecting software complexity of components embedded in an ECU depend not only on the interface and interaction properties, but also on the added constraints associated with their usage and stringent timing requirements. Traditional constraint complexity measures are not adequate for embedded real-time systems as they do not yet sufficiently provide a measure of the timing constraints described by AUTOSAR languages. This paper presents a method for measuring the structural and timing constraint complexity of automotive embedded software systems at the specification level.
  • Keywords
    automotive engineering; embedded systems; formal specification; software metrics; AUTOSAR languages; ECU; automotive embedded software systems; constraint complexity; electronic control units; software complexity; software-based functionalities; specification level; stringent timing requirements; Automotive engineering; Complexity theory; Real-time systems; Software; Software measurement; Timing; Unified modeling language; Automotive embedded software system; constraint complexity; software measure; timing dependency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data and Software Engineering (ICODSE), 2014 International Conference on
  • Print_ISBN
    978-1-4799-8175-5
  • Type

    conf

  • DOI
    10.1109/ICODSE.2014.7062701
  • Filename
    7062701