Sentiment Identification for Collaborative, Geographically Dispersed, Cross-Functional Software Development Teams

2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC) Pub Date : 2017-10-01 DOI:10.1109/CIC.2017.00014

Amol Patwardhan

{"title":"Sentiment Identification for Collaborative, Geographically Dispersed, Cross-Functional Software Development Teams","authors":"Amol Patwardhan","doi":"10.1109/CIC.2017.00014","DOIUrl":null,"url":null,"abstract":"The process of software development is a collaborative effort that may consist of various geographically dispersed teams. It involves extensive communication over emails, intra-company forums, blogs, surveys and code reviews. The high level of message and opinion exchange evokes positive and negative emotions regarding the software project delivery. This paper proposed techniques to identify the underlying emotion polarity across various collaborating teams by analyzing the communication during the software release cycle. It also evaluated whether there was a relation between emotion polarity and social factors and software artifacts such as gender, location of team, experience level, release duration, team size, code issue count and code review comments. The sentiment analysis was used to implement an emotion dashboard to measure the project success and emotional health across various cross-functional software development teams. 80% of the managers found the tool useful in improving the overall team morale and 70% managers found the dashboard useful for identifying the emotional health of the collaborating teams.","PeriodicalId":156843,"journal":{"name":"2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.2017.00014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

Abstract

The process of software development is a collaborative effort that may consist of various geographically dispersed teams. It involves extensive communication over emails, intra-company forums, blogs, surveys and code reviews. The high level of message and opinion exchange evokes positive and negative emotions regarding the software project delivery. This paper proposed techniques to identify the underlying emotion polarity across various collaborating teams by analyzing the communication during the software release cycle. It also evaluated whether there was a relation between emotion polarity and social factors and software artifacts such as gender, location of team, experience level, release duration, team size, code issue count and code review comments. The sentiment analysis was used to implement an emotion dashboard to measure the project success and emotional health across various cross-functional software development teams. 80% of the managers found the tool useful in improving the overall team morale and 70% managers found the dashboard useful for identifying the emotional health of the collaborating teams.

查看原文本刊更多论文

协作的、地理上分散的、跨功能的软件开发团队的情感识别

软件开发过程是一个协作的过程，它可能由不同地理位置分散的团队组成。它包括通过电子邮件、公司内部论坛、博客、调查和代码审查进行广泛的沟通。高层次的信息和意见交流唤起了关于软件项目交付的积极和消极的情绪。本文提出了通过分析软件发布周期中的沟通来识别不同协作团队之间潜在情感极性的技术。它还评估了情感极性与社会因素和软件工件(如性别、团队位置、经验水平、发布持续时间、团队规模、代码发布数量和代码审查评论)之间是否存在关系。情感分析被用来实现一个情感仪表板来衡量项目的成功和跨各个跨职能软件开发团队的情感健康。80%的经理发现该工具有助于提高整个团队的士气，70%的经理发现仪表板有助于确定合作团队的情绪健康状况。

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分钟内获得全文求助全文

来源期刊

2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC)

自引率

0.00%

发文量