A New Method for Evaluating Core Developers In Open Source Software

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI:10.1109/ICSESS54813.2022.9930230

Yulin Song, Tao Wang, Yang Shen, Junsheng Chang

{"title":"A New Method for Evaluating Core Developers In Open Source Software","authors":"Yulin Song, Tao Wang, Yang Shen, Junsheng Chang","doi":"10.1109/ICSESS54813.2022.9930230","DOIUrl":null,"url":null,"abstract":"The high-quality development of Open Source Software(OSS) benefits from the contributions of developers. An important research question is how to truly assess the extent of contribution of all developers in open source software and effectively identify the core developers to avoid their loss. In this paper, we use the undirected weighted network model to build a Developer Collaboration Network(DCN) based on developers and their contributions to the GitHub community’s open source software Rails, analyse the characteristics of developer partnerships through the Developer Collaboration Network, and propose a Developer Personal Impact Factor(DPIF) to evaluate the importance of developer, select the top 10 core developers in Rails, focus on their participation in the open source software process, and predicting the changes of their contributions. The experimental results show that core developers with extensive partnerships are more likely to associate with developers with fewer partnerships. The average degree of developer contribution does not increase with more developers. Developer partnerships are characterized by close localization and loose overall relationships. The Developer Personal Impact Factor identifies the core developers in open source software well. The Developer Personal Impact Factor gives a ranking in which the core team members rank in the top 1.17% on average.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS54813.2022.9930230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

The high-quality development of Open Source Software(OSS) benefits from the contributions of developers. An important research question is how to truly assess the extent of contribution of all developers in open source software and effectively identify the core developers to avoid their loss. In this paper, we use the undirected weighted network model to build a Developer Collaboration Network(DCN) based on developers and their contributions to the GitHub community’s open source software Rails, analyse the characteristics of developer partnerships through the Developer Collaboration Network, and propose a Developer Personal Impact Factor(DPIF) to evaluate the importance of developer, select the top 10 core developers in Rails, focus on their participation in the open source software process, and predicting the changes of their contributions. The experimental results show that core developers with extensive partnerships are more likely to associate with developers with fewer partnerships. The average degree of developer contribution does not increase with more developers. Developer partnerships are characterized by close localization and loose overall relationships. The Developer Personal Impact Factor identifies the core developers in open source software well. The Developer Personal Impact Factor gives a ranking in which the core team members rank in the top 1.17% on average.

查看原文本刊更多论文

开源软件核心开发人员评价的新方法

开源软件(OSS)的高质量开发得益于开发人员的贡献。如何真实地评估开源软件中所有开发者的贡献程度，并有效地识别核心开发者，避免他们的损失，是一个重要的研究问题。本文采用无向加权网络模型，基于开发者及其对GitHub社区开源软件Rails的贡献构建了开发者协作网络(DCN)，通过开发者协作网络分析了开发者合作伙伴关系的特点，提出了开发者个人影响因子(DPIF)来评估开发者的重要性，选择了Rails中排名前10位的核心开发者。关注他们在开源软件过程中的参与，并预测他们贡献的变化。实验结果表明，拥有广泛合作关系的核心开发者更有可能与拥有较少合作关系的开发者建立联系。开发人员的平均贡献程度不会随着开发人员的增加而增加。开发者合作的特点是紧密的本地化和松散的整体关系。开发人员个人影响因子很好地识别了开源软件中的核心开发人员。开发者个人影响因子给出了一个排名，其中核心团队成员平均排名前1.17%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)

自引率

0.00%

发文量