计算机工程与科学2017，Vol.39Issue(12)：2260-2268,9.DOI:10.3969/j.issn.1007-130X.2017.12.015
深度学习方法在软件分析中的应用
Application of deep learning methods in software analysis
摘要
Abstract
In the big data era,the rapid rise of deep learning has made great progress in many fields,such as computer vision.In recent years,with the accumulation of software artifacts,deep learning has begun to play an important role in software engineering domain.We review recent advances of deep learning methods in software analysis,summarize major research interests and application features.A batch of important results has been published,and related research shows an upward trend.In the end,limitations and problems in the application of deep learning methods are discussed.关键词
软件工程/软件分析/软件制品/机器学习/深度学习/大数据Key words
software engineering/software analysis/software artifacts/machine learning/deep learning/big data分类
信息技术与安全科学引用本文复制引用
张献,贲可荣..深度学习方法在软件分析中的应用[J].计算机工程与科学,2017,39(12):2260-2268,9.基金项目
国防973项目 （）
