A Bayesian Network Model to Assess Agile Teams' Teamwork Quality

A. Freire, Raissa Matias da Silva, M. Perkusich, H. Almeida, A. Perkusich
{"title":"A Bayesian Network Model to Assess Agile Teams' Teamwork Quality","authors":"A. Freire, Raissa Matias da Silva, M. Perkusich, H. Almeida, A. Perkusich","doi":"10.1109/SBES.2015.29","DOIUrl":null,"url":null,"abstract":"The Agile Manifesto states that agile projects should focus on individuals and interactions over processes and tools. Agile teams are self-directed and considered one of the most valuable assets of the project. This requires the team members to be collaborative and embrace the concept of whole-team responsibility and commitment. Factors that influence teamwork quality such as team orientation, team leadership, and coordination in addition to highly specialized skills and corresponding division of work are barriers for achieving team effectiveness. To assist on the assessment of agile teamwork quality, in this paper, we present a Bayesian networks-based model. The model considers agile teams principles and industry best practices. We validated the model with simulated scenarios. The results are promising and encourage its usage to assess agile teams teamwork quality to promote continuous improvement.","PeriodicalId":329313,"journal":{"name":"2015 29th Brazilian Symposium on Software Engineering","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 29th Brazilian Symposium on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBES.2015.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

The Agile Manifesto states that agile projects should focus on individuals and interactions over processes and tools. Agile teams are self-directed and considered one of the most valuable assets of the project. This requires the team members to be collaborative and embrace the concept of whole-team responsibility and commitment. Factors that influence teamwork quality such as team orientation, team leadership, and coordination in addition to highly specialized skills and corresponding division of work are barriers for achieving team effectiveness. To assist on the assessment of agile teamwork quality, in this paper, we present a Bayesian networks-based model. The model considers agile teams principles and industry best practices. We validated the model with simulated scenarios. The results are promising and encourage its usage to assess agile teams teamwork quality to promote continuous improvement.
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
基于贝叶斯网络模型的敏捷团队团队合作质量评估
敏捷宣言指出,敏捷项目应该关注个人和交互,而不是过程和工具。敏捷团队是自我指导的,被认为是项目中最有价值的资产之一。这需要团队成员合作,并接受整个团队责任和承诺的概念。除了高度专业化的技能和相应的分工外,影响团队素质的因素如团队导向、团队领导、协调等都是实现团队效能的障碍。为了帮助敏捷团队质量的评估,本文提出了一个基于贝叶斯网络的敏捷团队质量评估模型。该模型考虑了敏捷团队原则和行业最佳实践。我们用模拟场景验证了该模型。结果很有希望,并鼓励将其用于评估敏捷团队的团队质量,以促进持续改进。
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 Bayesian Network Model to Assess Agile Teams' Teamwork Quality Evaluating Collaborative Practices in Acquiring Programming Skills: Findings of a Controlled Experiment A Method to Derive Metric Thresholds for Software Product Lines An Experiment on Process Model Understandability Using Textual Work Instructions and BPMN Models Influence of the Review of Executed Activities Utilizing Planning Poker
×
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