Experimental analysis of computer system dependability
Fault-tolerant computer system design
IEEE Transactions on Computers
Specification and Design of Embedded Hardware-Software Systems
IEEE Design & Test
An Adaptive Architecture for Monitoring and Failure Analysis of High-Speed Networks
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
A Fault Hypothesis Study on the TTP/C Using VHDL-Based and Pin-Level Fault Injection Techniques
DFT '02 Proceedings of the 17th IEEE International Symposium on Defect and Fault-Tolerance in VLSI Systems
Dependability Analysis Of A Commercial High-Speed Network
FTCS '97 Proceedings of the 27th International Symposium on Fault-Tolerant Computing (FTCS '97)
Accurate Dependability Analysis of CAN-Based Networked Systems
SBCCI '03 Proceedings of the 16th symposium on Integrated circuits and systems design
System-Level Analysis of Fault Effects in an Automotive Environment
DFT '03 Proceedings of the 18th IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems
Dependability Analysis of CAN Networks: An Emulation-Based Approach
DFT '03 Proceedings of the 18th IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems
Evaluating the Effects of Transient Faults on Vehicle Dynamic Performance in Automotive Systems
ITC '04 Proceedings of the International Test Conference on International Test Conference
Validation of the dependability of CAN-based networked systems
HLDVT '04 Proceedings of the High-Level Design Validation and Test Workshop, 2004. Ninth IEEE International
Evaluation of SEU and crosstalk effects in network-on-chip switches
SBCCI '06 Proceedings of the 19th annual symposium on Integrated circuits and systems design
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For safety-critical applications, accurately evaluating network dependability is crucial. This article, a special selection from the Symposium on Integrated Circuits and Systems Design (SBCCI), describes a fault-injection environment for assessing CAN-based networks common in the automotive field. The approach focuses particularly on revealing how soft errors within the CAN protocol controllers affect system behavior.