Strategies for Crowdworkers to Overcome Barriers in Competition-based Software Crowdsourcing Development

A. L. Zanatta, L. Machado, Igor Steinmacher, R. Prikladnicki, C. D. Souza
{"title":"Strategies for Crowdworkers to Overcome Barriers in Competition-based Software Crowdsourcing Development","authors":"A. L. Zanatta, L. Machado, Igor Steinmacher, R. Prikladnicki, C. D. Souza","doi":"10.1145/3387940.3392243","DOIUrl":null,"url":null,"abstract":"Crowdsourcing in software development uses a large pool of developers on-demand to outsource parts or the entire software project to a crowd. To succeed, this requires a continuous influx of developers, or simply crowdworkers. However, crowdworkers face many barriers when attempting to participate in software crowdsourcing. Often, these barriers lead to a low number and poor quality of submitted solutions. In our previous work, we identified several barriers faced by crowdworkers including finding a task according to his/her abilities, setting up the environment to perform the task, and managing one's personal time. We also proposed six strategies to overcome or minimize these barriers. In this paper, these six strategies are evaluated questioning Software Crowdsourcing (SW CS) experts. The results show that software crowdsourcing needs to: (i) provide a system that helps matching tasks requirements and crowdworker's profile; (ii) adopt containers or virtual machines to help crowdworkers set up their environment to perform the task, (iii) plan and control crowdworkers' personal time, and (iv) adopt communication channels to allow crowdworkers to clarify questions about the requirements and, as a consequence, finish the tasks.","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":"0","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/10.1145/3387940.3392243","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

Crowdsourcing in software development uses a large pool of developers on-demand to outsource parts or the entire software project to a crowd. To succeed, this requires a continuous influx of developers, or simply crowdworkers. However, crowdworkers face many barriers when attempting to participate in software crowdsourcing. Often, these barriers lead to a low number and poor quality of submitted solutions. In our previous work, we identified several barriers faced by crowdworkers including finding a task according to his/her abilities, setting up the environment to perform the task, and managing one's personal time. We also proposed six strategies to overcome or minimize these barriers. In this paper, these six strategies are evaluated questioning Software Crowdsourcing (SW CS) experts. The results show that software crowdsourcing needs to: (i) provide a system that helps matching tasks requirements and crowdworker's profile; (ii) adopt containers or virtual machines to help crowdworkers set up their environment to perform the task, (iii) plan and control crowdworkers' personal time, and (iv) adopt communication channels to allow crowdworkers to clarify questions about the requirements and, as a consequence, finish the tasks.
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
基于竞争的软件众包开发中众包工作者克服障碍的策略
软件开发中的众包使用大量的开发人员按需将部分或整个软件项目外包给人群。要想成功,这就需要不断涌入的开发者,或者只是众包工作者。然而,众包工作者在尝试参与软件众包时面临许多障碍。通常,这些障碍会导致提交的解决方案数量少、质量差。在我们之前的工作中,我们发现了众包工作者面临的几个障碍,包括根据他/她的能力找到任务,设置执行任务的环境,以及管理个人时间。我们还提出了克服或尽量减少这些障碍的六项策略。本文通过对软件众包专家的提问,对这六种策略进行了评价。结果表明,软件众包需要:(1)提供一个系统,帮助匹配任务要求和众包工作者的个人资料;(ii)采用容器或虚拟机,帮助众包工作者搭建执行任务的环境;(iii)规划和控制众包工作者的个人时间;(iv)采用沟通渠道,让众包工作者澄清需求问题,从而完成任务。
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