摘要
开源软件开发过程中包含大量有价值的数据,针对其数据规模巨大、碎片分散、快速膨胀的特点,研究了软件工程开源生态大数据体系,提出了一种自生长的采集处理框架与汇聚共享环境,阐述了基于软件工程开源生态大数据的智能化软件开发,以及基于软件工程开源生态大数据分析挖掘的典型应用,为面向智能化软件开发的开源生态大数据研究与应用提供相关指导。
The open source software development process contains a lot of valuable data,which is huge in scale,fragmented,and rapidly expanding.Aimming to the characteristics,the big data structure of open source ecosystem of software engineering was studied,and a self-growing collection and processing framework and a convergence and sharing environment was proposed.The related research on the development of intelligent software based on open source big data of software engineering,and typical applications based on analysis and mining of open source big data of software engineering were expounded,and relevant guidance for the research and application of big data of open source ecosystem for intelligent software development was provided.
作者
张洋
王涛
尹刚
余跃
黄井泉
ZHANG Yang;WANG Tao;YIN Gang;YU Yue;HUANG Jingquan(Department of Computer Science,National University of Defense Technology,Changsha 410073,China;Green Computing Consortium,Beijing 100036,China;Hunan Intelligent Engine Technology Co.,Ltd.,Changsha 410073,China)
出处
《大数据》
2021年第1期94-106,共13页
Big Data Research
基金
国家重点研发计划基金资助项目(No.2016YFB1000800)。
关键词
智能化软件开发
开源软件
开源生态
大数据
intelligent software development
open source software
open source ecosystem
big data
