We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Predicting open source contributor turnover from value-related discussions: An analysis of GitHub issues
Predicting open source contributor turnover from value-related discussions- An analysis of GitHub issues.pdf
2024
NTT Communication Science Labs Kyoto, Japan
ICSE
CCF A
No response
这篇2024发表在ICSE中的文章,从issue、PR中涉及到价值观的文本评论中,来预测GitHub开发者在项目中的流失情况。 这篇文章没有涉及到很多新的模型/方法,甚至使用的方法比较简单,只是在流程中使用了一些比较基础的统计型方法(没有使用新模型、大模型、没有改进模型)。
但是却实实在在的发现了目前的研究领域的空白,并利用Github的日志数据,以基于数据的实证分析的角度来解决这个问题:
这样的研究思路与研究方法和场景,值得我们学习借鉴
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Title
Predicting open source contributor turnover from value-related discussions: An analysis of GitHub issues
Link
Predicting open source contributor turnover from value-related discussions- An analysis of GitHub issues.pdf
Year
2024
Author and affiliation
NTT Communication Science Labs Kyoto, Japan
Conference or Journal
ICSE
Rank
CCF A
Keywords
No response
Selecting Reason
这篇2024发表在ICSE中的文章,从issue、PR中涉及到价值观的文本评论中,来预测GitHub开发者在项目中的流失情况。
这篇文章没有涉及到很多新的模型/方法,甚至使用的方法比较简单,只是在流程中使用了一些比较基础的统计型方法(没有使用新模型、大模型、没有改进模型)。
但是却实实在在的发现了目前的研究领域的空白,并利用Github的日志数据,以基于数据的实证分析的角度来解决这个问题:
这样的研究思路与研究方法和场景,值得我们学习借鉴
Supplementary
No response
The text was updated successfully, but these errors were encountered: