Sentiment analysis over collaborative relationships in open source software projects

Sentiments and collaboration efficiency are key factors in the success of the open source software (OSS) development process. However, in the software engineering domain, no studies have been conducted to analyze the effect between collaborators' sentiments, and the role of sentiment in collabo...

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Main Authors: LI, Lingjia, CAO, Jian, LO, David
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Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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Online Access:https://ink.library.smu.edu.sg/sis_research/5929
https://ink.library.smu.edu.sg/context/sis_research/article/6932/viewcontent/SentimentAnalysis_2020_30.pdf
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spelling sg-smu-ink.sis_research-69322021-05-12T02:37:08Z Sentiment analysis over collaborative relationships in open source software projects LI, Lingjia CAO, Jian LO, David Sentiments and collaboration efficiency are key factors in the success of the open source software (OSS) development process. However, in the software engineering domain, no studies have been conducted to analyze the effect between collaborators' sentiments, and the role of sentiment in collaborative relationships during the development process. In this study, we apply sentiment analysis and statistical analysis on collaboration artifacts over five projects on GitHub. We use sentiment consistency to quantify the relation between sentiments in collaborative relationships. It is found that sentiment consistency is positively correlated with the closeness of collaborative relationships and collaborators' overall sentiment states. We also perform the Granger causality test and network analysis to study the impact of sentiment consistency on a time series basis. It is found that positive consistent sentiments not only improve collaboration willingness to the utmost extent, followed by inconsistent and negative consistent sentiments, they also boost the closeness of the entire project community. These findings can be applied to develop better OSS project monitoring tools and improve project management by taking developers' sentiments during collaborations into consideration. 2020-07-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5929 info:doi/10.18293/SEKE2020-030 https://ink.library.smu.edu.sg/context/sis_research/article/6932/viewcontent/SentimentAnalysis_2020_30.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Collaborative and social computing GitHub Human factors Project management Sentiment analysis Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Collaborative and social computing
GitHub
Human factors
Project management
Sentiment analysis
Software Engineering
spellingShingle Collaborative and social computing
GitHub
Human factors
Project management
Sentiment analysis
Software Engineering
LI, Lingjia
CAO, Jian
LO, David
Sentiment analysis over collaborative relationships in open source software projects
description Sentiments and collaboration efficiency are key factors in the success of the open source software (OSS) development process. However, in the software engineering domain, no studies have been conducted to analyze the effect between collaborators' sentiments, and the role of sentiment in collaborative relationships during the development process. In this study, we apply sentiment analysis and statistical analysis on collaboration artifacts over five projects on GitHub. We use sentiment consistency to quantify the relation between sentiments in collaborative relationships. It is found that sentiment consistency is positively correlated with the closeness of collaborative relationships and collaborators' overall sentiment states. We also perform the Granger causality test and network analysis to study the impact of sentiment consistency on a time series basis. It is found that positive consistent sentiments not only improve collaboration willingness to the utmost extent, followed by inconsistent and negative consistent sentiments, they also boost the closeness of the entire project community. These findings can be applied to develop better OSS project monitoring tools and improve project management by taking developers' sentiments during collaborations into consideration.
format text
author LI, Lingjia
CAO, Jian
LO, David
author_facet LI, Lingjia
CAO, Jian
LO, David
author_sort LI, Lingjia
title Sentiment analysis over collaborative relationships in open source software projects
title_short Sentiment analysis over collaborative relationships in open source software projects
title_full Sentiment analysis over collaborative relationships in open source software projects
title_fullStr Sentiment analysis over collaborative relationships in open source software projects
title_full_unstemmed Sentiment analysis over collaborative relationships in open source software projects
title_sort sentiment analysis over collaborative relationships in open source software projects
publisher Institutional Knowledge at Singapore Management University
publishDate 2020
url https://ink.library.smu.edu.sg/sis_research/5929
https://ink.library.smu.edu.sg/context/sis_research/article/6932/viewcontent/SentimentAnalysis_2020_30.pdf
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