Context-Aware Generative AI for Automated Telecom Test Script Generation

The paper introduces a context-aware generative AI framework for automated telecom test script generation, addressing the limitations of static test suites by implementing delta-conditioned test generation based on a continuously updated knowledge graph (KG). This approach utilizes a delta engine for fine-grained change detection and a KG-guided generative AI agent, leveraging the Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) to enhance reasoning with telecom-domain knowledge. This framework significantly reduces manual effort, improves test relevance, and accelerates test cycles, making it a valuable tool for practitioners in the telecom sector who require adaptive testing solutions.