基于人工智能的自动化测试框架设计与实现  

Design and implementation of an automated testing framework based on artificial intelligence

作　　者：张明岩 林秀 ZHANG Mingyan;LIN Xiu(Shandong Luruan Digital Technology Co.,Ltd.,Ji’nan 250001,China)

机构地区：[1]山东鲁软数字科技有限公司,山东济南250001

出　　处：《无线互联科技》2024年第18期4-6,共3页Wireless Internet Science and Technology

摘　　要：随着软件系统的日益复杂,传统的软件测试方法面临着提高效率和准确性的双重挑战。文章提出一种基于人工智能(Artificial Intelligence,AI)的自动化测试框架,旨在通过机器学习和自然语言处理技术,提高测试用例的生成效率和测试覆盖率。该框架集成多种AI算法,能够根据软件的历史数据和结构信息,智能生成测试用例,并进行缺陷预测。实际的软件项目测试结果表明,该框架能够显著提高测试效率,同时保持较高的缺陷检出率。With the increasing complexity of software systems,traditional software testing methods face dual challenges of efficiency and accuracy.This article proposes an automated testing framework based on artificial intelligence(AI),aiming to improve the efficiency and coverage of test case generation through machine learning and natural language processing techniques.This framework integrates multiple AI algorithms and can intelligently generate test cases and predict defects based on software’s historical data and structural information.Through actual software project testing,the effectiveness of the framework was verified,and the test results showed that the framework can significantly improve testing efficiency while maintaining a high defect detection rate.

关 键 词：自动化测试 人工智能 测试框架 机器学习 软件质量保证 

分 类 号：TP311.53[自动化与计算机技术—计算机软件与理论]