开源软件开发者价值评估体系及其实证研究

Assessing the value of open-source software developers in a scientific and objective manner is an important issue in the open-source field. Existing research methods encounter challenges, including the use of limited evaluation metrics and the complexities associated with determining metric weights. To mitigate these issues, this paper proposes a multi-dimensional and multi-level assessment system for open-source software developers. The system is informed by an analysis of big data from the opensource ecosystem and combines both subjective and objective evaluation methods. By considering developers' performance in project management, programming, team collaboration, learning, and dedication, the proposed system comprehensively and objectively assesses their values using five primary indicators, twelve secondary indicators, and seven tertiary indicators. The Critic method is employed in this paper to determine the weights of various dimensions, overcoming the issue of low accuracy caused by experiential weights. Finally, multiple empirical studies are conducted using Github's 2020 global open-source ecosystem data to validate the effectiveness and feasibility of the open-source community developer value assessment system. This research provides an objective, scientific, and practical method for measuring the talent, discovery, and management of open-source software developers. The experimental code can be Obtained from theGithub platform.