arXiv (CS.AI)
2026-06-24 12:00
DOI:
arXiv:2606.23720
A Unified Framework for Runtime Verification and Model-Based Diagnosis in LOLA
作者:
摘要 / Abstract
arXiv:2606.23720v1 Announce Type: cross
Abstract: We present an integrated framework that unifies runtime verification and model-based diagnosis within the stream specification language LOLA. By encoding system descriptions, component health states, and observations into a single stream-based formalism, the approach enables continuous, online fault localization directly alongside fault detection, without requiring separate toolchains. The framework supports both time-invariant and transient faults, and naturally accommodates nondeterministic observations.