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).
@article{arxiv.2106.02200,
title = {PSY-TaLiRo: A Python Toolbox for Search-Based Test Generation for Cyber-Physical Systems},
author = {Quinn Thibeault and Jacob Anderson and Aniruddh Chandratre and Giulia Pedrielli and Georgios Fainekos},
journal= {arXiv preprint arXiv:2106.02200},
year = {2021}
}