About: Runtime Monitors observe the execution of a system with the aim of reaching a verdict about it. One property that is expected of monitors is consistent verdict detections; this property was characterised in prior work via a symbolic analysis called symbolic controllability. This paper explores whether the proposed symbolic analysis lends itself well to the construction of a tool that checks monitors for this deterministic behaviour. We implement a prototype that automates this symbolic analysis, and establish complexity upper bounds for the algorithm used. We also consider a number of optimisations for the implemented prototype, and assess the potential gains against benchmark monitors.   Goto Sponge  NotDistinct  Permalink

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  • Runtime Monitors observe the execution of a system with the aim of reaching a verdict about it. One property that is expected of monitors is consistent verdict detections; this property was characterised in prior work via a symbolic analysis called symbolic controllability. This paper explores whether the proposed symbolic analysis lends itself well to the construction of a tool that checks monitors for this deterministic behaviour. We implement a prototype that automates this symbolic analysis, and establish complexity upper bounds for the algorithm used. We also consider a number of optimisations for the implemented prototype, and assess the potential gains against benchmark monitors.
subject
  • Algorithms
  • Causality
  • Philosophy of science
  • Product development
  • Mathematical logic
  • Theoretical computer science
  • Industrial design
  • Determinism
  • Metaphysical theories
  • Randomness
  • Prototypes
  • Computer algebra
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