ASONAM 2022 Tutorial I: Mining and Analysing Collaboration in git Repositories with git2net

Christoph Gote
{"title":"ASONAM 2022 Tutorial I: Mining and Analysing Collaboration in git Repositories with git2net","authors":"Christoph Gote","doi":"10.1109/asonam55673.2022.10068714","DOIUrl":null,"url":null,"abstract":"The tutorial will provide an introduction to the git2net, an open-source Python package for mining and analyzing collaboration in git repositories. The tutorial will cover various aspects of using git2net to analyze collaboration within git repositories, including hands-on examples and interactive tutorials using Jupyter notebooks. Attendees will learn how to use git2net to extract co-editing networks, visualize collaboration patterns, and analyze the contributions of individual developers. The tutorial is platform-independent and can be used on all platforms. The tutorial materials, including Jupyter notebooks, can be accessed through the git repository (https://github.com/gotec/git2net-tutorials). Attendees can directly interact with the notebooks through Binder, Google Colab or view them in NBViewer by following the links provided in the abstract. The tutorial will cover topics such as cloning a repository for analysis, mining git repositories with git2net, author disambiguation with gambit, network analysis with pathpy, database-based analyses, and computing file complexity with git2net. Installation instructions for git2net as well as all other information regarding its development can be found in the original development repository (https://github.com/gotec/git2net). The tutorial is suitable for developers, data scientists and researchers who are interested in understanding collaboration patterns in software development.","PeriodicalId":423113,"journal":{"name":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/asonam55673.2022.10068714","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The tutorial will provide an introduction to the git2net, an open-source Python package for mining and analyzing collaboration in git repositories. The tutorial will cover various aspects of using git2net to analyze collaboration within git repositories, including hands-on examples and interactive tutorials using Jupyter notebooks. Attendees will learn how to use git2net to extract co-editing networks, visualize collaboration patterns, and analyze the contributions of individual developers. The tutorial is platform-independent and can be used on all platforms. The tutorial materials, including Jupyter notebooks, can be accessed through the git repository (https://github.com/gotec/git2net-tutorials). Attendees can directly interact with the notebooks through Binder, Google Colab or view them in NBViewer by following the links provided in the abstract. The tutorial will cover topics such as cloning a repository for analysis, mining git repositories with git2net, author disambiguation with gambit, network analysis with pathpy, database-based analyses, and computing file complexity with git2net. Installation instructions for git2net as well as all other information regarding its development can be found in the original development repository (https://github.com/gotec/git2net). The tutorial is suitable for developers, data scientists and researchers who are interested in understanding collaboration patterns in software development.
ASONAM 2022教程1:使用git2net挖掘和分析git存储库中的协作
本教程将介绍git2net,这是一个用于挖掘和分析git存储库中的协作的开源Python包。本教程将涵盖使用git2net分析git存储库中的协作的各个方面,包括使用Jupyter笔记本的动手示例和交互式教程。与会者将学习如何使用git2net提取共同编辑网络,可视化协作模式,并分析单个开发人员的贡献。本教程是独立于平台的,可以在所有平台上使用。教程材料,包括Jupyter笔记本,可以通过git存储库(https://github.com/gotec/git2net-tutorials)访问。与会者可以通过Binder,谷歌Colab直接与笔记本互动,或者通过摘要中提供的链接在NBViewer中查看它们。本教程将涵盖的主题包括克隆存储库进行分析、使用git2net挖掘git存储库、使用gambit消除作者歧义、使用pathpy进行网络分析、基于数据库的分析以及使用git2net计算文件复杂性。git2net的安装说明以及有关其开发的所有其他信息可以在原始开发存储库(https://github.com/gotec/git2net)中找到。本教程适合对理解软件开发中的协作模式感兴趣的开发人员、数据科学家和研究人员。
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
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