Code line generation based on deep context-awareness of onsite programming  

作　　者：Chuanqi TAO Panpan BAO Zhiqiu HUANG 

机构地区：[1]College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 211100,China [2]Ministry Key Laboratory for Safety-Critical Software Development and Verification,Nanjing University of Aeronautics and Astronautics,Nanjing 211100,China [3]National Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210023,China

出　　处：《Science China(Information Sciences)》2020年第9期60-62,共3页中国科学（信息科学）（英文版）

基　　金：supported by National Key R&D Program of China(Grant No.2018YFB1003900);National Natural Science Foundation of China(Grant Nos.61602267,61402229);Open Fund of the State Key Laboratory for Novel Software Technology(Grant No.KFKT2018B19);Fundamental Research Funds for the Central Universities(Grant No.NS2019058)。

摘　　要：Dear editor,Intelligent code generation has become an essential research task to accelerate modern software development.To facilitate effective code generation for programming languages,numerous approaches have been proposed to generate token or tokens by mining existing open software repositories.

关 键 词：TOKEN EDITOR PROGRAMMING 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]