基于人工智能的软件缺陷检测与预测方法分析  

Analysis of Software Defect Detection and Prediction Methods Based on Artificial Intelligence

作　　者：吴茂雪 徐杰 WU Maoxue;XU Jie(Guizhou Mechanical and Electrical Vocational and Technical College,Duyun,Guizhou 558000,China.)

机构地区：[1]贵州省都匀市贵州机电职业技术学院,贵州558000

出　　处：《电子技术(上海)》2025年第1期188-189,共2页Electronic Technology

摘　　要：阐述一种基于人工智能的软件缺陷检测与预测方法,并探讨机器学习和深度学习技术在缺陷识别和预测中的应用。通过构建多层次特征提取模型和利用神经网络进行模式识别,实现对软件代码的自动化分析。This paper expounds software defect detection and prediction methods based on artificial intelligence,and explores the application of machine learning and deep learning techniques in defect recognition and prediction.It constructs a multi-level feature extraction model and performs neural network pattern recognition to achieve automatic analysis of software code.

关 键 词：人工智能 软件缺陷检测 机器学习 深度学习 自然语言处理 

分 类 号：TP311.53[自动化与计算机技术—计算机软件与理论] TP18[自动化与计算机技术—计算机科学与技术]