| 基于贡献分配的开源软件核心开发者评估 |
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| 引用本文： | 吴哲夫,朱天潼,宣琦,余跃. 基于贡献分配的开源软件核心开发者评估[J]. 软件学报, 2018, 29(8): 2272-2282 |
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| 作者姓名： | 吴哲夫 朱天潼 宣琦 余跃 |
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| 作者单位： | 浙江工业大学 信息工程学院, 浙江 杭州 310023,浙江工业大学 信息工程学院, 浙江 杭州 310023,浙江工业大学 信息工程学院, 浙江 杭州 310023,国防科学技术大学 计算机学院, 湖南 长沙 410073 |
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| 基金项目： | 国家重点研发计划（2016YFB1000805）；国家自然科学基金（61572439，61702534，61273212）；浙江省自然科学基金（LY18F010025，LY18F030021） |
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| 摘 要： | 开源软件中如何真实评估所有开发者的贡献度并有效区分核心开发者和外围开发者是一个重要的研究问题.通过设计开发文件的贡献度分配算法，以9个Apache项目为基础分析了开发者对项目的贡献度，并以此有效地区分核心开发者和外围开发者.实验结果通过Apache官方主页公布的开发者地位名单进行考证，同时在真实名单的相似度上与传统评估方案进行了比较，验证了算法的实用性和有效性.最后，通过支持向量机建立分类模型，结合不同影响开发者地位的关键因素，提升了开发者分类的精确度.
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| 关 键 词： | 开源软件 核心开发者 外围开发者 贡献分配 支持向量机 |
| 收稿时间： | 2017-07-05 |
| 修稿时间： | 2017-09-28 |
Evaluation of Core Developers in Open Source Software by Contribution Allocation |
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| WU Zhe-Fu,ZHU Tian-Tong,XUAN Qi and YU Yue. Evaluation of Core Developers in Open Source Software by Contribution Allocation[J]. Journal of Software, 2018, 29(8): 2272-2282 |
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| Authors: | WU Zhe-Fu ZHU Tian-Tong XUAN Qi YU Yue |
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| Affiliation: | College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China and School of Computer Science, National University of Defense Technology, Changsha 410073, China |
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| Abstract: | How to authentically evaluate the contribution of developers and distinguish the core developer and the peripheral developer in the open source software is an important research question. Based on the analysis of the 9 Apache projects, the developer'' s contribution to the project can be analyzed by designing the contribution allocation algorithm for project files, which also contributes to effectively distinguish the core developer and the peripheral developer. The feasibility and accuracy of the proposed algorithm are verified by checking the list of official developers''regions and through the comparison of different traditional evaluation schemes on the similarity of the real list. Finally, the classification model of the support vector machine is established, and the accuracy of the developer classification is improved by combining the key factors that affect the role of the developer. |
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| Keywords: | open source software core developer peripheral developer contribution allocation support vector machine |
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