Probabilistic Temporal Logic Falsification of Cyber-Physical Systems

  • Authors:
  • Houssam Abbas;Georgios Fainekos;Sriram Sankaranarayanan;Franjo Ivančić;Aarti Gupta

  • Affiliations:
  • Arizona State University;Arizona State University;University of Colorado, Boulder;NEC Laboratories America;NEC Laboratories America

  • Venue:
  • ACM Transactions on Embedded Computing Systems (TECS) - Special Section on Probabilistic Embedded Computing
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a Monte-Carlo optimization technique for finding system behaviors that falsify a metric temporal logic (MTL) property. Our approach performs a random walk over the space of system inputs guided by a robustness metric defined by the MTL property. Robustness is guiding the search for a falsifying behavior by exploring trajectories with smaller robustness values. The resulting testing framework can be applied to a wide class of cyber-physical systems (CPS). We show through experiments on complex system models that using our framework can help automatically falsify properties with more consistency as compared to other means, such as uniform sampling.