Implicit rankings let SMT solvers verify liveness with first-order approximations of ranking functions, and the authors use them on Dijkstra's k-state, 4-state, and 3-state self-stabilizing protocols.
Proving Cutoff Bounds for Safety Properties in First-Order Logic
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
First-order logic has been established as an important tool for modeling and verifying intricate systems such as distributed protocols and concurrent systems. These systems are parametric in the number of nodes in the network or the number of threads, which is finite in any system instance, but unbounded. One disadvantage of first-order logic is that it cannot distinguish between finite and infinite structures, leading to spurious counterexamples. To mitigate this, we offer a verification approach that captures only finite system instances. Our approach is an adaptation of the cutoff method to systems modeled in first-order logic. The idea is to show that any safety violation in a system instance of size larger than some bound can be simulated by a safety violation in a system of a smaller size. The simulation provides an inductive argument for correctness in finite instances, reducing the problem to showing safety of instances with bounded size. To this end, we develop a framework to (i) encode such simulation relations in first-order logic and to (ii) validate the simulation relation by a set of verification conditions given to an SMT solver. We apply our approach to verify safety of a set of examples, some of which cannot be proven by a first-order inductive invariant.
fields
cs.LO 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Implicit Rankings for Verifying Liveness Properties in First-Order Logic
Implicit rankings let SMT solvers verify liveness with first-order approximations of ranking functions, and the authors use them on Dijkstra's k-state, 4-state, and 3-state self-stabilizing protocols.