Conversational Bot for Newcomers Onboarding to Open Source Projects

James Dominic, Jada Houser, Igor Steinmacher, Charles Ritter, Paige Rodeghero
{"title":"Conversational Bot for Newcomers Onboarding to Open Source Projects","authors":"James Dominic, Jada Houser, Igor Steinmacher, Charles Ritter, Paige Rodeghero","doi":"10.1145/3387940.3391534","DOIUrl":null,"url":null,"abstract":"This paper targets the problems newcomers face when onboarding to open source projects and the low retention rate of newcomers. Open source software projects are becoming increasingly more popular. Many major companies have started building open source software. Unfortunately, many newcomers only commit once to an open source project before moving on to another project. Even worse, many novices struggle with joining open source communities and end up leaving quickly, sometimes before their first successful contribution. In this paper, we propose a conversational bot that would recommend projects to newcomers and assist in the onboarding to the open source community. The bot would be able to provide helpful resources, such as Stack Overflow related content. It would also be able to recommend human mentors. We believe that this bot would improve newcomers' experience by providing support not only during their first contribution, but by acting as an agent to engage them to the project.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3387940.3391534","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

Abstract

This paper targets the problems newcomers face when onboarding to open source projects and the low retention rate of newcomers. Open source software projects are becoming increasingly more popular. Many major companies have started building open source software. Unfortunately, many newcomers only commit once to an open source project before moving on to another project. Even worse, many novices struggle with joining open source communities and end up leaving quickly, sometimes before their first successful contribution. In this paper, we propose a conversational bot that would recommend projects to newcomers and assist in the onboarding to the open source community. The bot would be able to provide helpful resources, such as Stack Overflow related content. It would also be able to recommend human mentors. We believe that this bot would improve newcomers' experience by providing support not only during their first contribution, but by acting as an agent to engage them to the project.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
会话机器人新手入门到开源项目
本文主要针对新手入职开源项目时面临的问题以及新手保留率低的问题。开源软件项目正变得越来越流行。许多大公司已经开始构建开源软件。不幸的是,许多新人在转向另一个项目之前只向一个开源项目提交一次。更糟糕的是,许多新手很难加入开源社区,最终很快就离开了,有时在他们第一次成功的贡献之前。在本文中,我们提出了一个会话机器人,它可以向新手推荐项目,并帮助他们进入开源社区。机器人将能够提供有用的资源,如堆栈溢出相关的内容。它还可以推荐人类导师。我们相信这个机器人不仅能在新人第一次贡献时提供支持,还能作为代理让他们参与到项目中来,从而改善新人的体验。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Preliminary Systematic Mapping on Software Engineering for Robotic Systems: A Software Quality Perspective Generating API Test Data Using Deep Reinforcement Learning Human Factors in the Study of Automatic Software Repair: Future Directions for Research with Industry Strategies for Crowdworkers to Overcome Barriers in Competition-based Software Crowdsourcing Development Centralized Generic Interfaces in Hardware/Software Co-design for AI Accelerators
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1