华东师范大学学报（自然科学版） ›› 2024, Vol. 2024 ›› Issue (5): 11-19.doi: 10.3969/j.issn.1000-5641.2024.05.002

• 学习评价与推荐 • 上一篇    下一篇

OpenRank贡献度评估方法及其在开源课程中的实证研究

王婕1, 黄温瑞1, 赵生宇2, 夏小雅1, 韩凡宇1, 王伟1,*(), 张琰彬1   

  1. 1. 华东师范大学 数据科学与工程学院, 上海　200062
    2. 同济大学 电子与信息工程学院, 上海　201804
  • 收稿日期:2024-07-08 出版日期:2024-09-25 发布日期:2024-09-23
  • 通讯作者: 王伟 E-mail:wwang@dase.ecnu.edu.cn
  • 基金资助:
    国家自然科学基金 (62137001, 62277017)

OpenRank contribution evaluation method and empirical study in open-source course

Jie WANG1, Wenrui HUANG1, Shengyu ZHAO2, Xiaoya XIA1, Fanyu HAN1, Wei WANG1,*(), Yanbin ZHANG1   

  1. 1. School of Data Science and Engineering, East China Normal University, Shanghai　200062, China
    2. School of Electronic and Information Engineering, Tongji University, Shanghai　201804, China
  • Received:2024-07-08 Online:2024-09-25 Published:2024-09-23
  • Contact: Wei WANG E-mail:wwang@dase.ecnu.edu.cn

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摘要：

提出了一种基于OpenRank的开源贡献度评价方法, 旨在解决开源项目实践中学生的贡献度量化评估问题. 以 “开源软件设计与开发”课程中的软件开发实践教学为背景, 设计了开源实践教学模式中学生的贡献度评价方法, 提出了一种基于开发者协作网络的OpenRank算法, 以评估学生在项目讨论、问题解决、代码编写等方面的贡献和价值. 实验结果表明, OpenRank与传统评分方法在评价学生表现方面具有一致性, 更能全面展示学生在开源项目中各个方面的贡献. 因此, OpenRank与传统评分方法的结合, 能更加科学、全面地评价学生在开源项目中的贡献度与综合技能.

关键词: 开源协作, 开源贡献度, 贡献度评价, 实证研究

Abstract:

This study presents an OpenRank-based method for evaluating open-source contributions, designed to address the challenge of quantifying student contributions in open-source projects. Taking the “Open-Source Software Design and Development” course as a case study, we developed a method to assess student contributions in open-source practice. The OpenRank algorithm, which is based on developer collaboration networks, evaluates student contributions in discussions, problem-solving, and coding. Experimental results indicate that OpenRank not only aligns with traditional grading methods but also provides a more comprehensive view of student contributions. Combining OpenRank with traditional grading offers a more scientific and thorough evaluation of student contributions and skills in open-source projects.

Key words: open-source collaboration, open-source contribution, contribution evaluation, empirical research

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