PSY-TaLiRo: A Python Toolbox for Search-Based Test Generation for Cyber-Physical Systems
This provides a flexible tool for researchers and engineers working on testing cyber-physical systems, but it is incremental as it builds on existing falsification and modular toolbox concepts.
The authors introduced PSY-TaLiRo, a Python toolbox for search-based test generation in cyber-physical systems, enabling modular support for temporal logic monitors and optimization engines to generate test cases.
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).