Zhifang Liao¹, Shuyuan Cao¹, Bin Li¹, Shengzong Liu^2,*, Yan Zhang³, Song Yu^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 175-196, 2023, DOI:10.32604/cmes.2023.027287 - 23 April 2023

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… More >

Zhifang Liao¹, Yiqi Zhao¹, Shengzong Liu², Yan Zhang³, Limin Liu^1,*, Jun Long¹

Computer Systems Science and Engineering, Vol.36, No.1, pp. 239-258, 2021, DOI:10.32604/csse.2021.014144 - 23 December 2020

Abstract Software productivity has always been one of the most critical metrics for measuring software development. However, with the open-source community (e.g., GitHub), new software development models are emerging. The traditional productivity metrics do not provide a comprehensive measure of the new software development models. Therefore, it is necessary to build a productivity measurement model of open source software ecosystem suitable for the open-source community’s production activities. Based on the natural ecosystem, this paper proposes concepts related to the productivity of open source software ecosystems, analyses influencing factors of open source software ecosystem productivity, and constructs More >

Chengrong Yang¹, Rongjing Bu², Yan Kang², Yachuan Zhang², Hao Li^2,*, Tao Li², Junfeng Li²

Journal on Big Data, Vol.2, No.4, pp. 135-144, 2020, DOI:10.32604/jbd.2020.010000 - 24 December 2020

Abstract With the rise of open-source software, the social development paradigm occupies an indispensable position in the current software development process. This paper puts forward a variant of the PageRank algorithm to build the importance assessment model, which provides quantifiable importance assessment metrics for new Java projects based on Java open-source projects or components. The critical point of the model is to use crawlers to obtain relevant information about Java open-source projects in the GitHub open-source community to build a domain knowledge graph. According to the three dimensions of the Java opensource project’s project influence, project More >

Yijun Tian ^{1, *}, Waii Ng¹, Jialiang Cao¹, Suzanne McIntosh¹

CMC-Computers, Materials & Continua, Vol.61, No.2, pp. 465-479, 2019, DOI:10.32604/cmc.2019.07818

Abstract In the field of Computer Science, software developers need to use a wide array of social collaborative platforms for learning and cooperating. The most popular ones are GitHub and Stack Overflow. Existing platforms only support search queries to extract relevant repository information from GitHub, or questions and answers from Stack Overflow. This ignores the valuable coder-related part-who are the top experts (geek talents) in a specific area? This information is important to companies, open source projects, and to those who want to learn from an expert role model. Thus, how to find the right developers More >