GitHub存储库中的情感分析:实证研究

2017 24th Asia-Pacific Software Engineering Conference Workshops (APSECW) Pub Date : 2017-12-01 DOI:10.1109/APSECW.2017.13

Bo Yang, Xinjie Wei, Chao Liu

{"title":"GitHub存储库中的情感分析:实证研究","authors":"Bo Yang, Xinjie Wei, Chao Liu","doi":"10.1109/APSECW.2017.13","DOIUrl":null,"url":null,"abstract":"There have been more than 12 million open source software in GitHub so far, but the existing studies about sentiments analysis in open source software are not sufcient for the sentiments analysis in GitHub. This paper proposes an approach to analyze the correlation of comment sentiments and bug fixing speed. It's proved the existence of certain factors among some relevance after experiments. The experimental results also give some suggestions on GitHub open source software development process.","PeriodicalId":172357,"journal":{"name":"2017 24th Asia-Pacific Software Engineering Conference Workshops (APSECW)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Sentiments Analysis in GitHub Repositories: An Empirical Study\",\"authors\":\"Bo Yang, Xinjie Wei, Chao Liu\",\"doi\":\"10.1109/APSECW.2017.13\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There have been more than 12 million open source software in GitHub so far, but the existing studies about sentiments analysis in open source software are not sufcient for the sentiments analysis in GitHub. This paper proposes an approach to analyze the correlation of comment sentiments and bug fixing speed. It's proved the existence of certain factors among some relevance after experiments. The experimental results also give some suggestions on GitHub open source software development process.\",\"PeriodicalId\":172357,\"journal\":{\"name\":\"2017 24th Asia-Pacific Software Engineering Conference Workshops (APSECW)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 24th Asia-Pacific Software Engineering Conference Workshops (APSECW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSECW.2017.13\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 24th Asia-Pacific Software Engineering Conference Workshops (APSECW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSECW.2017.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 10

摘要

到目前为止，GitHub中已经有超过1200万个开源软件，但是现有的关于开源软件中情感分析的研究对于GitHub中的情感分析是不够的。本文提出了一种分析评论情绪与bug修复速度相关性的方法。通过实验证明，在一些相关因素中，存在一定的因素。实验结果也对GitHub开源软件的开发过程提出了一些建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Sentiments Analysis in GitHub Repositories: An Empirical Study

There have been more than 12 million open source software in GitHub so far, but the existing studies about sentiments analysis in open source software are not sufcient for the sentiments analysis in GitHub. This paper proposes an approach to analyze the correlation of comment sentiments and bug fixing speed. It's proved the existence of certain factors among some relevance after experiments. The experimental results also give some suggestions on GitHub open source software development process.

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

2017 24th Asia-Pacific Software Engineering Conference Workshops (APSECW)

自引率

0.00%

发文量