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A Source Code Generator Approach to Implementing Diagnostics in Vehicle Control Units
Technical Paper
2004-01-0677
ISSN: 0148-7191, e-ISSN: 2688-3627
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Language:
English
Abstract
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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