Degree doesn't Matter: Identifying the Drivers of Interaction in Software Development Ecosystems

I. Bardhan, Subhajit Datta, S. Majumder
{"title":"Degree doesn't Matter: Identifying the Drivers of Interaction in Software Development Ecosystems","authors":"I. Bardhan, Subhajit Datta, S. Majumder","doi":"10.1109/APSEC53868.2021.00048","DOIUrl":null,"url":null,"abstract":"Large scale software development ecosystems represent one of the most complex human enterprises. In such settings, developers are embedded in a web of shared concerns, responsibilities, and objectives at individual and collective levels. A deep understanding of the factors that influence developers to connect with one another is crucial in appreciating the challenges of such ecosystems as well as formulating strategies to overcome those challenges. We use real world data from multiple software development ecosystems to construct developer interaction networks and examine the mechanisms of such network formation using statistical models to identify developer attributes that have maximal influence on whether and how developers connect with one another. Our results challenge the conventional wisdom on the importance of particular developer attributes in their interaction practices, and offer useful insights for individual developers, project managers, and organizational decision-makers.","PeriodicalId":143800,"journal":{"name":"2021 28th Asia-Pacific Software Engineering Conference (APSEC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 28th Asia-Pacific Software Engineering Conference (APSEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSEC53868.2021.00048","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

Large scale software development ecosystems represent one of the most complex human enterprises. In such settings, developers are embedded in a web of shared concerns, responsibilities, and objectives at individual and collective levels. A deep understanding of the factors that influence developers to connect with one another is crucial in appreciating the challenges of such ecosystems as well as formulating strategies to overcome those challenges. We use real world data from multiple software development ecosystems to construct developer interaction networks and examine the mechanisms of such network formation using statistical models to identify developer attributes that have maximal influence on whether and how developers connect with one another. Our results challenge the conventional wisdom on the importance of particular developer attributes in their interaction practices, and offer useful insights for individual developers, project managers, and organizational decision-makers.
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
程度无关紧要:识别软件开发生态系统中交互的驱动因素
大型软件开发生态系统代表了最复杂的人类企业之一。在这样的环境中,开发人员被嵌入到个人和集体级别的共享关注点、责任和目标的网络中。深刻理解影响开发者相互联系的因素对于认识这种生态系统的挑战以及制定克服这些挑战的策略至关重要。我们使用来自多个软件开发生态系统的真实世界数据来构建开发人员交互网络,并使用统计模型来检查这种网络形成的机制,以确定对开发人员是否以及如何相互联系具有最大影响的开发人员属性。我们的结果挑战了在交互实践中特定开发人员属性重要性的传统智慧,并为个人开发人员、项目经理和组织决策者提供了有用的见解。
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
Verification Assisted Gas Reduction for Smart Contracts Effective Bug Triage Based on a Hybrid Neural Network Learn To Align: A Code Alignment Network For Code Clone Detection Framework for Recommending Data Residency Compliant Application Architecture Degree doesn't Matter: Identifying the Drivers of Interaction in Software Development Ecosystems
×
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