Vývoj nástroje připravujícího data pro automatizované testy

This thesis focuses on the design, development, and implementation of a tool for automated test data selection in a banking environment, aiming to eliminate manual intervention in the selection of clients for testing. The main goal was to create a modular and flexible solution based on the Robot Framework, integrated into the existing infrastructure of the testing ecosystem. The analysis of the technological context and the manual process revealed key deficiencies, which served as the foundation for designing and implementing a tool comprising multiple modules for handling test data. Validation demonstrated improvements in several aspects. The tool expanded the set of tests suitable for automation from the original 61 to 77. It improved the Passed/Failed test ratio from 2.59 to 4.92 and saved testers 2 hours and 48 minutes. The results confirm the stability and efficiency of the solution, providing a scalable foundation for further development.