mlsanityData to 14 Oct 2026

A Unified Framework for Runtime Verification and Model-Based Diagnosis in LOLA

arXiv 2606.23720 ↗First posted 18 Jun 2026cs.SE cs.AI cs.LOcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 39 references that are in the map. First posted on arXiv 18 Jun 2026.

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4 of 39 references.

References · 4

  1. 2016Interactive Debugging of Knowledge Basescited by 4
  2. 2020DynamicHS: Streamlining Reiter's Hitting-Set Tree for Sequential Diagnosiscited by 3
  3. 2022How should I compute my candidates? A taxonomy and classification of diagnosis computation algorithmscited by 3
  4. 2022Symbolic Runtime Verification for Monitoring under Uncertainties and Assumptionscited by 2

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