开发者对GitHub Repository评论的情感分析研究

Aman Kumar, Manish Khare, Saurabh Tiwari
{"title":"开发者对GitHub Repository评论的情感分析研究","authors":"Aman Kumar, Manish Khare, Saurabh Tiwari","doi":"10.1109/icaci55529.2022.9837754","DOIUrl":null,"url":null,"abstract":"The sentiments of developers play a major role in productivity, code quality, and satisfaction. The workload of the developers and their interest in a specific programming language affect the overall quality of the development process. Open source projects, where developers (or contributors) work based on their interest in contributing to the project apart of their routine work. In this paper, we are analysing the sentiments of the developers on GitHub while working on different open source projects. Our study mainly focuses on three aspects: (1) analysing the day of the week in which the comment was made by the developer, (2) emotions of the developer throughout the course of a project, and (3) emotions with different programming languages. The analysis was done by looking into the developer comments on issues, pull requests, and comments for the repository. Our results show that projects developed on Monday’s tend to more negative emotion. Additionally, comments written in issues have higher negative polarity in their sentimental content, and projects developed in Java and Python have more positive comments as compared to C and C++.","PeriodicalId":412347,"journal":{"name":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sentiment Analysis of Developers’ Comments on GitHub Repository: A Study\",\"authors\":\"Aman Kumar, Manish Khare, Saurabh Tiwari\",\"doi\":\"10.1109/icaci55529.2022.9837754\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The sentiments of developers play a major role in productivity, code quality, and satisfaction. The workload of the developers and their interest in a specific programming language affect the overall quality of the development process. Open source projects, where developers (or contributors) work based on their interest in contributing to the project apart of their routine work. In this paper, we are analysing the sentiments of the developers on GitHub while working on different open source projects. Our study mainly focuses on three aspects: (1) analysing the day of the week in which the comment was made by the developer, (2) emotions of the developer throughout the course of a project, and (3) emotions with different programming languages. The analysis was done by looking into the developer comments on issues, pull requests, and comments for the repository. Our results show that projects developed on Monday’s tend to more negative emotion. Additionally, comments written in issues have higher negative polarity in their sentimental content, and projects developed in Java and Python have more positive comments as compared to C and C++.\",\"PeriodicalId\":412347,\"journal\":{\"name\":\"2022 14th International Conference on Advanced Computational Intelligence (ICACI)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 14th International Conference on Advanced Computational Intelligence (ICACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icaci55529.2022.9837754\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icaci55529.2022.9837754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

开发人员的情绪在生产力、代码质量和满意度方面起着重要作用。开发人员的工作量和他们对特定编程语言的兴趣会影响开发过程的整体质量。开源项目,开发人员(或贡献者)根据他们对项目贡献的兴趣来工作,而不是他们的日常工作。在本文中,我们将分析GitHub上开发人员在不同开源项目上工作时的情绪。我们的研究主要集中在三个方面:(1)分析开发人员发表评论的一周中的哪一天,(2)开发人员在整个项目过程中的情绪,(3)不同编程语言的情绪。分析是通过查看开发人员对问题、拉取请求和对存储库的评论来完成的。我们的研究结果表明,周一开发的项目倾向于更多的负面情绪。此外,在issue中写的评论在情感内容上具有更高的消极极性,而用Java和Python开发的项目与C和c++相比,有更多的积极评论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sentiment Analysis of Developers’ Comments on GitHub Repository: A Study
The sentiments of developers play a major role in productivity, code quality, and satisfaction. The workload of the developers and their interest in a specific programming language affect the overall quality of the development process. Open source projects, where developers (or contributors) work based on their interest in contributing to the project apart of their routine work. In this paper, we are analysing the sentiments of the developers on GitHub while working on different open source projects. Our study mainly focuses on three aspects: (1) analysing the day of the week in which the comment was made by the developer, (2) emotions of the developer throughout the course of a project, and (3) emotions with different programming languages. The analysis was done by looking into the developer comments on issues, pull requests, and comments for the repository. Our results show that projects developed on Monday’s tend to more negative emotion. Additionally, comments written in issues have higher negative polarity in their sentimental content, and projects developed in Java and Python have more positive comments as compared to C and C++.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信