Arrow Research search
Back to LPAR

LPAR 2023

Model Checking Omega-Regular Hyperproperties with AutoHyperQ

Conference Paper Accepted Paper Artificial Intelligence · Logic in Computer Science

Abstract

Hyperproperties are commonly used to define information-flow policies and other re- quirements that reason about the relationship between multiple traces in a system. We consider HyperQPTL – a temporal logic for hyperproperties that combines explicit quan- tification over traces with propositional quantification as, e. g. , found in quantified proposi- tional temporal logic (QPTL). HyperQPTL therefore truly captures ω-regular relations on multiple traces within a system. As such, HyperQPTL can, e. g. , express promptness prop- erties, which state that there exists a common bound on the number of steps up to which an event must have happened. While HyperQPTL has been studied and used in various prior works, thus far, no model-checking tool for it exists. This paper presents AutoHyperQ, a fully-automatic automata-based model checker for HyperQPTL that can cope with arbitrary combinations of trace and propositional quantification. We evaluate AutoHyperQ on a range of benchmarks and, e. g. , use it to analyze promptness requirements in a diverse collection of reactive systems. Moreover, we demonstrate that the core of AutoHyperQ can be reused as an effective tool to translate QPTL formulas into ω-automata.

Authors

Keywords

No keywords are indexed for this paper.

Context

Venue
International Conference on Logic for Programming, Artificial Intelligence and Reasoning
Archive span
1992-2024
Indexed papers
780
Paper id
475844498829904788
v2026.09.13