UML Class Diagram Evaluation and Repair Strategies based on LLMs
Focusing on typical defects in LLM-generated UML class diagrams, this study reveals that LLMs exhibit uncertainties analogous to human memory, and three targeted repair strategies are proposed, including memory reinforcement, external knowledge injection, and detection-guided automated targeted repair.