We revisit two well-established verification techniques, $k$-induction and bounded model checking (BMC), in the more general setting of fixed point theory over complete lattices. Our main theoretical contribution is latticed $k$-induction, which (i) generalizes classical $k$-induction for verifying transition systems, (ii) generalizes Park induction for bounding fixed points of monotonic maps on complete lattices, and (iii) extends from naturals $k$ to transfinite ordinals $\kappa$, thus yielding $\kappa$-induction. The lattice-theoretic understanding of $k$-induction and BMC enables us to apply both techniques to the fully automatic verification of infinite-state probabilistic programs. Our prototypical implementation manages to automatica...
Soon after the birth of the flourishing research area of model checking in the early eighties, resea...
The ability to provide succinct information about why a property does, or does not, hold in a given ...
We present a simple and clear foundation for finite inference that unites and significantly extends ...
We revisit two well-established verification techniques, k-induction and bounded model checking (BMC...
Abstract. We explore the combination of bounded model checking and induction for proving safety prop...
Abstract. Monolithic finite-state probabilistic programs have been abstractly modeled by finite Mark...
AbstractThe work presented in this paper addresses the challenge of fully verifying complex temporal...
The classic theorems of Büchi and Kleene state the expressive equivalence of finite automata to mona...
International audienceIn this paper, we propose an inductive approach to prove positive almost sure ...
AbstractWe generalize the familiar semantics for probabilistic computation tree logic from finite-st...
AbstractWe introduce p-Automata, which are automata that accept languages of Markov chains, by adapt...
Abstract—We present a fully automated technique for com-positional verification of probabilistic sys...
Probabilistic B\"{u}chi Automata (\PBA) are randomized, finite state automata that process input str...
Our recently proposed certification framework for bit-level k-induction-based model checking has bee...
The weakest pre-expectation calculus [20] has been proved to be a mature theory to analyze quan-tita...
Soon after the birth of the flourishing research area of model checking in the early eighties, resea...
The ability to provide succinct information about why a property does, or does not, hold in a given ...
We present a simple and clear foundation for finite inference that unites and significantly extends ...
We revisit two well-established verification techniques, k-induction and bounded model checking (BMC...
Abstract. We explore the combination of bounded model checking and induction for proving safety prop...
Abstract. Monolithic finite-state probabilistic programs have been abstractly modeled by finite Mark...
AbstractThe work presented in this paper addresses the challenge of fully verifying complex temporal...
The classic theorems of Büchi and Kleene state the expressive equivalence of finite automata to mona...
International audienceIn this paper, we propose an inductive approach to prove positive almost sure ...
AbstractWe generalize the familiar semantics for probabilistic computation tree logic from finite-st...
AbstractWe introduce p-Automata, which are automata that accept languages of Markov chains, by adapt...
Abstract—We present a fully automated technique for com-positional verification of probabilistic sys...
Probabilistic B\"{u}chi Automata (\PBA) are randomized, finite state automata that process input str...
Our recently proposed certification framework for bit-level k-induction-based model checking has bee...
The weakest pre-expectation calculus [20] has been proved to be a mature theory to analyze quan-tita...
Soon after the birth of the flourishing research area of model checking in the early eighties, resea...
The ability to provide succinct information about why a property does, or does not, hold in a given ...
We present a simple and clear foundation for finite inference that unites and significantly extends ...