Zhifang Liao1, Shuyuan Cao1, Bin Li1, Shengzong Liu2,*, Yan Zhang3, Song Yu1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 175-196, 2023, DOI:10.32604/cmes.2023.027287
Abstract GitHub repository recommendation is a research hotspot in the field of open-source software. The current problems with the repository recommendation system are the insufficient utilization of open-source community information and the fact that the scoring metrics used to calculate the matching degree between developers and repositories are developed manually and rely too much on human experience, leading to poor recommendation results. To address these problems, we design a questionnaire to investigate which repository information developers focus on and propose a graph convolutional network-based repository recommendation system (GCNRec). First, to solve insufficient information utilization in open-source communities, we construct a Developer-Repository… More >
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