基于AI Agents构建高效数据库智能测试框架的探索  

Exploration of Constructing an Efficient Intelligent Database Testing Framework Based on AI Agents

作　　者：张娜 ZHANG Na(General Data Technology Co.,Ltd.,Tianjin 300100)

机构地区：[1]天津南大通用数据技术股份有限公司,天津300100

出　　处：《软件》2025年第3期113-115,119,共4页Software

摘　　要：本文聚焦于数据库测试领域,深入阐述了AI Agents技术在突破传统数据库测试局限方面的重要作用,并提出了融合强化学习与知识图谱的智能测试框架DAITF。通过详细介绍其关键技术体系、框架实现、实验验证,阐述了DAITF在测试用例生成效率、异常检测准确率等方面相较于传统方法的提升。同时,探讨了该技术面临的挑战与未来发展方向,为数据库测试技术的革新提供了重要参考。This paper focuses on the field of database testing and provides an in-depth exploration of the significant role of AI Agents technology in overcoming the limitations of traditional database testing.We propose an intelligent testing framework,DAITF,which integrates reinforcement learning and knowledge graphs.By detailing its key technological system,framework implementation,and experimental validation,we demonstrate the improvements of DAITF over traditional methods in terms of test case generation efficiency and anomaly detection accuracy.Additionally,we discuss the challenges faced by this technology and its future development directions,offering important insights for the innovation of database testing techniques.

关 键 词：智能体 数据库测试 强化学习 知识图谱 智能测试框架 

分 类 号：TP311.133.1[自动化与计算机技术—计算机软件与理论]