2012 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE) 2012
DOI: 10.1109/date.2012.6176546
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A guiding coverage metric for formal verification

Abstract: Abstract-Considerable effort is made to verify the correct functional behavior of circuits and systems. To guarantee the overall success metric-driven verification flows have been developed. In these flows coverage metrics are omnipresent. Well established coverage metrics for simulation-based verification approaches exist. This is however not the case for formal verification where property checking is a major technique to prove the correctness of the implementation.In this paper we present a guiding coverage … Show more

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Cited by 13 publications
(2 citation statements)
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“…Alternately, given two traces that differ only in the value of signal s at a particular time step, if both traces satisfy property P , then s is not covered by P . The work in [77] refines this notion of coverage by providing a numeric score for each incompletely covered signal s. Such metrics are very rigorous but can lead to overspecification: the specification must completely define the input/output function of the implementation.…”
Section: Requirements Adequacymentioning
confidence: 99%
“…Alternately, given two traces that differ only in the value of signal s at a particular time step, if both traces satisfy property P , then s is not covered by P . The work in [77] refines this notion of coverage by providing a numeric score for each incompletely covered signal s. Such metrics are very rigorous but can lead to overspecification: the specification must completely define the input/output function of the implementation.…”
Section: Requirements Adequacymentioning
confidence: 99%
“…Further reading: [36], [37], [38], [39], [40], [41], [42] Arithmetic: BDD and SAT/SMT techniques suffer from limitations when applied to complex arithmetic, e.g. multipliers.…”
Section: Challengesmentioning
confidence: 99%