Implementing diagnostic functionality in automotive ECUs is usually an expensive, time-consuming and inefficient process. Computer-generated source code based on ECU-specific diagnostic data can dramatically decrease costs and development time and increase quality and efficiency.By considering the weaknesses in the typical ECU diagnostic development process, a clear set of objectives emerges. Defining a source code generation system that addresses these weaknesses lays the groundwork for implementing a successful solution. A case study using the Vector CANdesc (CAN Diagnostic Embedded Software Component) is presented as a proof of concept.


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    Titel :

    A Source Code Generator Approach to Implementing Diagnostics in Vehicle Control Units


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    SAE 2004 World Congress & Exhibition ; 2004



    Erscheinungsdatum :

    2004-03-08




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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