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
Link To Document :
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