Development and Implementation Strategies Towards a Comprehensive YANG Model-Based Configuration Data Generation Tool

Abstract: Effective management and operation of modern networks heavily rely on efficient network configuration management and infrastructure. Manual configuration management has been proven inefficient, and there is a need to automatize it. Such automatization can be done using YANG, which provides a standardized data modeling language that works across various network devices, offering a vital tool for network management. However, ensuring the performance and dependability of YANG modules requires effective testing. Manually creating configuration files for YANG modules is time-consuming, prompting the need for automated solutions. In this thesis, a prototype was developed to address this challenge by utilizing directed graphs and topological sorting techniques to generate configuration files for YANG modules. The development and evaluation of the prototype demonstrate its efficient time utilization, while acknowledging its limitations in handling complex YANG modules. The findings suggest that incorporating directed graphs and topological sorting in future YANG module testing tools holds promise as an effective approach.