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PSY-TaLiRo: A Python Toolbox for Search-Based Test Generation for Cyber-Physical Systems

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arxiv 2106.02200 v1 pith:GVGSXTPU submitted 2021-06-04 cs.SE cs.SYeess.SY

classification cs.SEcs.SYeess.SY
keywords psy-talirotestgenerationsystemstoolboxcyber-physicalengineslogic
verification ladder T0 review T1 audit T2 compute T3 formal
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In this paper, we present the Python package PSY-TaLiRo which is a toolbox for temporal logic robustness guided falsification of Cyber-Physical Systems (CPS). PSY-TaLiRo is a completely modular toolbox supporting multiple temporal logic offline monitors as well as optimization engines for test case generation. Among the benefits of PSY-TaLiRo is that it supports search-based test generation for many different types of systems under test. All PSY-TaLiRo modules can be fully modified by the users to support new optimization and robustness computation engines as well as any System under Test (SUT).

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. X-ray and radio polarimetry of the neutron star low mass X-ray binary GX 13+1

    astro-ph.HE 2025-08 unverdicted novelty 5.0 of 10

    X-ray and radio polarimetry of GX 13+1 support a disk plus boundary or spreading layer geometry, with tentative polarization swings between dip and non-dip states.

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