The complexity of propositional linear temporal logics
Journal of the ACM (JACM)
Logics of time and computation
Logics of time and computation
Temporal verification of reactive systems: safety
Temporal verification of reactive systems: safety
IEEE Transactions on Software Engineering - Special issue on formal methods in software practice
The size of a revised knowledge base
Artificial Intelligence
An automata-theoretic approach to branching-time model checking
Journal of the ACM (JACM)
Monotonic reductions, representative equivalence, and compilation of intractable problems
Journal of the ACM (JACM)
Symbolic Model Checking
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
On-the-Fly Model Checking of RCTL Formulas
CAV '98 Proceedings of the 10th International Conference on Computer Aided Verification
NuSMV 2: An OpenSource Tool for Symbolic Model Checking
CAV '02 Proceedings of the 14th International Conference on Computer Aided Verification
Methodology and System for Practical Formal Verification of Reactive Hardware
CAV '94 Proceedings of the 6th International Conference on Computer Aided Verification
VIS: A System for Verification and Synthesis
CAV '96 Proceedings of the 8th International Conference on Computer Aided Verification
Preprocessing of intractable problems
Information and Computation
The temporal logic of programs
SFCS '77 Proceedings of the 18th Annual Symposium on Foundations of Computer Science
Space efficiency of propositional knowledge representation formalisms
Journal of Artificial Intelligence Research
Complexity results for planning
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
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Temporal Logic Model Checking is a verification method having many industrial applications. This method describes a system as a formal structure called model; some properties, expressed in a temporal logic formula, can be then checked over this model. In order to improve performance, some tools allow to preprocessing the model so that a set of properties can be verified reusing the same preprocessed model. In this article, we prove that this preprocessing cannot possibly reduce complexity, if its result is bound to be of size polynomial in the size of the input. This result also holds if the formula is the part of the data that is preprocessed, which has similar practical implications.