Developed and delivered Drone Testing Configuration Files for the kotekan/kotekan repository, focusing on enhancing the reproducibility and efficiency of drone test runs. Leveraging configuration management and system configuration skills, the work introduced YAML-defined parameters to support both single-cylinder and receiver-based testing modes. The configuration files detailed pipeline stages, buffer allocations, and processing parameters, enabling parameterized and repeatable test scenarios. This approach streamlined the setup process for drone-related validations and improved test coverage by allowing flexible adjustments to test parameters. The contribution did not involve bug fixes but provided a foundational feature for more robust and automated drone testing workflows.