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Data driven intelligent collaboration of software developers

Authors :
Jian ZHANG
Xiangxin MENG
Hailong SUN
Xu WANG
Xudong LIU
Source :
大数据, Vol 7, Pp 2021006-1 (2021)
Publication Year :
2021
Publisher :
China InfoCom Media Group, 2021.

Abstract

Mining big software data and utilizing the knowledge contained in it to explore intelligent methods for software development is an active research topic. However, existing researches on software developer and crowd collaboration have not yet formed systematic methods. Therefore, the key technologies for intelligent collaboration through in-depth analysis of developer behavior were studied. Besides, the corresponding support environment was also developed on the basis of the key technologies to improve the efficiency and quality of software development. Firstly, a large amount of data related to developers were collected and analyzed. Secondly, a systematic approach of analyzing developers and their collaboration which is called developer knowledge graph was proposed. Thirdly, supported by the developer knowledge graph, the collaborative development method based on intelligent recommendation was introduced thoroughly. Depending on the above technologies, the corresponding supporting tools were developed, and a system of intelligent collaborative development environment was provided. Finally, the future work was prospected.

Details

Language :
Chinese
ISSN :
20960271
Volume :
7
Database :
Directory of Open Access Journals
Journal :
大数据
Publication Type :
Academic Journal
Accession number :
edsdoj.2f0219c246ac4341a9d0bf894fa52606
Document Type :
article
Full Text :
https://doi.org/10.11959/j.issn.2096-0271.2021006