Proceedings International Test Conference 1998 (IEEE Cat. No.98CH36270)
DOI: 10.1109/test.1998.743310
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Modeling the unknown! Towards model-independent fault and error diagnosis

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Cited by 40 publications
(21 citation statements)
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“…In addition, during the test, signals only need to be traced within the new reduced window. Finally, X-simulation [17], simulating the design with logic unknown at the output ports of the suspects, is performed to identify the state elements where the error effects propagate. The above information feeds back to the algorithm to drive the next debug session where the algorithm iterates the three steps in Figure 4.…”
Section: Methodology Overviewmentioning
confidence: 99%
“…In addition, during the test, signals only need to be traced within the new reduced window. Finally, X-simulation [17], simulating the design with logic unknown at the output ports of the suspects, is performed to identify the state elements where the error effects propagate. The above information feeds back to the algorithm to drive the next debug session where the algorithm iterates the three steps in Figure 4.…”
Section: Methodology Overviewmentioning
confidence: 99%
“…The SAT-based diagnosis algorithm from [14] performs model-free diagnosis [19]. That is, it does not make any assumption on the behavior of the fault/error.…”
Section: Boolean Satisfiability and Unsat Coresmentioning
confidence: 99%
“…A simple approach to identify those registers is using X-simulation [19], which simulates the design with logic unknown at the output of the suspects to capture all possible paths for error propagation. Then, any registers that store logic unknown are the candidates for tracing.…”
Section: Data Acquisition Setupmentioning
confidence: 99%
“…To overcome these obstacles, the concept of simulation-based debugging has been enriched with simulation of unknown values [4] to alleviate the need for an error model. Although practical in some cases, unknowns can decrease the resolution of the solution for large designs or for sequential designs.…”
Section: Simulation-based Debuggingmentioning
confidence: 99%