社会技术工作率的增加与在线项目中工作模式的变化有关

F. Sarker, Bogdan Vasilescu, Kelly Blincoe, V. Filkov
{"title":"社会技术工作率的增加与在线项目中工作模式的变化有关","authors":"F. Sarker, Bogdan Vasilescu, Kelly Blincoe, V. Filkov","doi":"10.1109/ICSE.2019.00099","DOIUrl":null,"url":null,"abstract":"Software developers work on a variety of tasks ranging from the technical, e.g., writing code, to the social, e.g., participating in issue resolution discussions. The amount of work developers perform per week (their work-rate) also varies and depends on project needs and developer schedules. Prior work has shown that while moderate levels of increased technical work and multitasking lead to higher productivity, beyond a certain threshold, they can lead to lowered performance. Here, we study how increases in the short-term work-rate along both the technical and social dimensions are associated with changes in developers' work patterns, in particular communication sentiment, technical productivity, and social productivity. We surveyed active and prolific developers on GitHub to understand the causes and impacts of increased work-rates. Guided by the responses, we developed regression models to study how communication and committing patterns change with increased work-rates and fit those models to large-scale data gathered from traces left by thousands of GitHub developers. From our survey and models, we find that most developers do experience work-rate-increase-related changes in behavior. Most notably, our models show that there is a sizable effect when developers comment much more than their average: the negative sentiment in their comments increases, suggesting an increased level of stress. Our models also show that committing patterns do not change with increased commenting, and vice versa, suggesting that technical and social activities tend not to be multitasked.","PeriodicalId":6736,"journal":{"name":"2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Socio-Technical Work-Rate Increase Associates With Changes in Work Patterns in Online Projects\",\"authors\":\"F. Sarker, Bogdan Vasilescu, Kelly Blincoe, V. Filkov\",\"doi\":\"10.1109/ICSE.2019.00099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software developers work on a variety of tasks ranging from the technical, e.g., writing code, to the social, e.g., participating in issue resolution discussions. The amount of work developers perform per week (their work-rate) also varies and depends on project needs and developer schedules. Prior work has shown that while moderate levels of increased technical work and multitasking lead to higher productivity, beyond a certain threshold, they can lead to lowered performance. Here, we study how increases in the short-term work-rate along both the technical and social dimensions are associated with changes in developers' work patterns, in particular communication sentiment, technical productivity, and social productivity. We surveyed active and prolific developers on GitHub to understand the causes and impacts of increased work-rates. Guided by the responses, we developed regression models to study how communication and committing patterns change with increased work-rates and fit those models to large-scale data gathered from traces left by thousands of GitHub developers. From our survey and models, we find that most developers do experience work-rate-increase-related changes in behavior. Most notably, our models show that there is a sizable effect when developers comment much more than their average: the negative sentiment in their comments increases, suggesting an increased level of stress. Our models also show that committing patterns do not change with increased commenting, and vice versa, suggesting that technical and social activities tend not to be multitasked.\",\"PeriodicalId\":6736,\"journal\":{\"name\":\"2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSE.2019.00099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSE.2019.00099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

摘要

软件开发人员从事各种各样的任务,从技术方面(例如,编写代码)到社会方面(例如,参与问题解决讨论)。开发人员每周执行的工作量(他们的工作率)也根据项目需求和开发人员时间表而变化。先前的研究表明,虽然适度增加的技术工作和多任务处理会提高工作效率,但超过一定的阈值,就会导致工作表现下降。在这里,我们研究了技术和社会维度上的短期工作率的增加是如何与开发人员工作模式的变化相关联的,特别是沟通情绪、技术生产力和社会生产力。我们调查了GitHub上活跃和多产的开发人员,以了解工作率增加的原因和影响。在响应的指导下,我们开发了回归模型来研究通信和提交模式如何随着工作率的增加而变化,并将这些模型与从数千名GitHub开发人员留下的痕迹中收集的大规模数据相匹配。从我们的调查和模型中,我们发现大多数开发人员确实经历了与工作效率增加相关的行为变化。最值得注意的是,我们的模型显示,当开发者的评论远远超过他们的平均水平时,会产生相当大的影响:他们评论中的负面情绪会增加,这表明压力水平会增加。我们的模型还表明,提交模式不会随着评论的增加而改变,反之亦然,这表明技术和社会活动往往不是多任务的。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Socio-Technical Work-Rate Increase Associates With Changes in Work Patterns in Online Projects
Software developers work on a variety of tasks ranging from the technical, e.g., writing code, to the social, e.g., participating in issue resolution discussions. The amount of work developers perform per week (their work-rate) also varies and depends on project needs and developer schedules. Prior work has shown that while moderate levels of increased technical work and multitasking lead to higher productivity, beyond a certain threshold, they can lead to lowered performance. Here, we study how increases in the short-term work-rate along both the technical and social dimensions are associated with changes in developers' work patterns, in particular communication sentiment, technical productivity, and social productivity. We surveyed active and prolific developers on GitHub to understand the causes and impacts of increased work-rates. Guided by the responses, we developed regression models to study how communication and committing patterns change with increased work-rates and fit those models to large-scale data gathered from traces left by thousands of GitHub developers. From our survey and models, we find that most developers do experience work-rate-increase-related changes in behavior. Most notably, our models show that there is a sizable effect when developers comment much more than their average: the negative sentiment in their comments increases, suggesting an increased level of stress. Our models also show that committing patterns do not change with increased commenting, and vice versa, suggesting that technical and social activities tend not to be multitasked.
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
自引率
0.00%
发文量
0
期刊最新文献
VFix: Value-Flow-Guided Precise Program Repair for Null Pointer Dereferences Search-Based Energy Testing of Android Scalable Approaches for Test Suite Reduction A System Identification Based Oracle for Control-CPS Software Fault Localization Training Binary Classifiers as Data Structure Invariants
×
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