Value Assessment System Oriented for Open-source Software Developers and Its Empirical Research
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 com-plexities 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 open-source ecosystem and combines both subjective and objective evaluation methods.By considering developers'performance in pro-ject 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 experien-tial 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 ob-jective,scientific,and practical method for measuring the talent,discovery,and management of open-source software developers.The experimental code can be Obtained from theGithub platform1).
Open-source softwareDeveloperValue evaluationsystemIndicator weightEmpirical research analysis
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