2018
DOI: 10.1007/978-3-030-01090-4_3
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Optimal Proofs for Linear Temporal Logic on Lasso Words

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Cited by 13 publications
(21 citation statements)
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“…Related, but slightly-different, problems are addressed in [2,4,17]. The first work gives a technique to incrementally build a (partial) deductive proof from the search performed by a model checker for incomplete (partially specified) systems while proving a given LTL property holds; the second focuses on runtime monitoring, proposing a local proof system for LTL and showing how such a system can be used for the construction of online runtime monitors; the third work instead discusses a proof system to provide evidence why a trace violates an LTL specification, as opposed to certifying why the property holds on the system under verification.…”
Section: Related Work and Contributionsmentioning
confidence: 99%
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“…Related, but slightly-different, problems are addressed in [2,4,17]. The first work gives a technique to incrementally build a (partial) deductive proof from the search performed by a model checker for incomplete (partially specified) systems while proving a given LTL property holds; the second focuses on runtime monitoring, proposing a local proof system for LTL and showing how such a system can be used for the construction of online runtime monitors; the third work instead discusses a proof system to provide evidence why a trace violates an LTL specification, as opposed to certifying why the property holds on the system under verification.…”
Section: Related Work and Contributionsmentioning
confidence: 99%
“…Ternary simulation performs a symbolic simulation of the circuit using three-valued logic, in which a variable can assume also the value X (for "unknown"). The simulation starts from the state assigning to all the variables in X + , to ⊥ all those in X − (see (2)), and all the others to X. Successor states are computed by applying (3) to the current state, until a fixpoint is reached (i.e.…”
Section: Equivalence and Constant Propagationmentioning
confidence: 99%
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“…Path checking [1] is about testing whether a particular signal (or word) satisfies a given formal specification. By contrast, in model checking [2] the aim is to establish whether all outputs from a model satisfy the specification.…”
Section: Introductionmentioning
confidence: 99%