• DocumentCode
    944825
  • Title

    Multiparadigm modeling in embedded systems design

  • Author

    Müller-Glaser, Klaus D. ; Frick, Gerd ; Sax, Eric ; Kühl, Markus

  • Author_Institution
    Inst. for Inf. Process. Technol., Univ. of Karlsruhe, Germany
  • Volume
    12
  • Issue
    2
  • fYear
    2004
  • fDate
    3/1/2004 12:00:00 AM
  • Firstpage
    279
  • Lastpage
    292
  • Abstract
    Embedded electronic systems for monitoring and control of technical processes (electronic control unit-ECU) are systems comprised of heterogeneous components (hardware, software, sensors, actuators, power electronics), thus making high demands on their development. Describing different aspects and views of the whole system, subsystem, or component requires according modeling paradigms for requirements specification, design, hardware implementation, software code generation, verification, integration, and testing. The first part of the paper surveys characteristic ECU features and describes a design strategy and the related technology, bringing out the necessity of multiparadigm modeling. Examples from automotive ECU applications are used throughout the paper. With respect to the problem that currently available tools provide insufficient support, integration strategies for multiparadigm modeling based on multiple tools are surveyed in the second part, concluding with examples from our own research activities.
  • Keywords
    computer aided software engineering; control system CAD; embedded systems; program compilers; simulation languages; software prototyping; specification languages; UML-based model representation; XFL-based model translation; automatic programming; code integration; design strategy; electronic control unit; embedded electronic systems; embedded systems design; executable specifications; hardware implementation; heterogeneous components; multiparadigm modeling; requirements specification; software code generation; software specification; tool integration; Actuators; Control systems; Embedded software; Embedded system; Hardware; Monitoring; Power system modeling; Process control; Sensor phenomena and characterization; Sensor systems;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2004.824340
  • Filename
    1281784