Data driven intelligent collaboration of software developers

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.

Keywords

• intelligent software development;big data;crowd collaboration;knowledge graph;recommender system