TLTk: A Toolbox for Parallel Robustness Computation of Temporal Logic Specifications

Joseph Cralley, Ourania Spantidi, Bardh Hoxha, Georgios Fainekos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents the Temporal Logic Toolkit (TLTk), a modular falsification tool for signal temporal logic specifications developed in Python and C. At the core of the tool, an algorithm for robustness computation is utilized that supports multi-threaded CPU/GPU computation. The tool enables memory-efficient, parallel, robustness computation of system traces. In addition, the python implementation enables the addition and modification of temporal operators for application-specific scenarios. The performance of the tool is evaluated against state-of-the-art robustness computation engines DP-TaLiRo and Breach on a number of benchmark problems.

Original languageEnglish (US)
Title of host publicationRuntime Verification - 20th International Conference, RV 2020, Proceedings
EditorsJyotirmoy Deshmukh, Dejan Nickovic
PublisherSpringer Science and Business Media Deutschland GmbH
Pages404-416
Number of pages13
ISBN (Print)9783030605070
DOIs
StatePublished - 2020
Event20th International Conference on Runtime Verification, RV 2020 - Los Angeles, United States
Duration: Oct 6 2020Oct 9 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12399 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Runtime Verification, RV 2020
Country/TerritoryUnited States
CityLos Angeles
Period10/6/2010/9/20

Keywords

  • Robustness
  • Temporal logic
  • Testing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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