Nicola Ciliberti developed foundational automated testing infrastructure for the gaelpoette/COURS_COLLAB_2024 repository, focusing on simulation parameterization and data provisioning. Using Python, Nicola created and standardized test assets, including parameterized configuration files and a deterministic data source, rezN.txt, to support reliable automated testing scenarios. The work emphasized automation testing and data management, enabling more consistent validation of simulation functionalities and reducing regression risk. By implementing a structured approach to test configuration and file organization, Nicola improved test maintainability and accelerated future test runs. The depth of the work established a robust base for ongoing testing and streamlined release validation processes.