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An Empirical Investigation of Sentiment Analysis of the Bug Tracking Process in Libre Office Open Source Software
In this work we are studying the sentiment in Open Source Software projects and more specifically in the process of bug reporting, to investigate the human factor, namely, the feedback from the community (end-users, developers, testers, etc.). One of the characteristics for which Open Source Softwar...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198247/ http://dx.doi.org/10.1007/978-3-030-47240-5_4 |
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author | Kritikos, Apostolos Venetis, Theodoros Stamelos, Ioannis |
author_facet | Kritikos, Apostolos Venetis, Theodoros Stamelos, Ioannis |
author_sort | Kritikos, Apostolos |
collection | PubMed |
description | In this work we are studying the sentiment in Open Source Software projects and more specifically in the process of bug reporting, to investigate the human factor, namely, the feedback from the community (end-users, developers, testers, etc.). One of the characteristics for which Open Source Software has gained attention, over the years, is the fact that it is continuously being tested and maintained by its community of volunteers. Sentiment analysis, a rapidly growing field, can enrich software evaluation with a social aspect. Results suggest that FLOSS projects’ bug reports can potentially constitute a rich emotionally - imbued information source. |
format | Online Article Text |
id | pubmed-7198247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71982472020-05-05 An Empirical Investigation of Sentiment Analysis of the Bug Tracking Process in Libre Office Open Source Software Kritikos, Apostolos Venetis, Theodoros Stamelos, Ioannis Open Source Systems Article In this work we are studying the sentiment in Open Source Software projects and more specifically in the process of bug reporting, to investigate the human factor, namely, the feedback from the community (end-users, developers, testers, etc.). One of the characteristics for which Open Source Software has gained attention, over the years, is the fact that it is continuously being tested and maintained by its community of volunteers. Sentiment analysis, a rapidly growing field, can enrich software evaluation with a social aspect. Results suggest that FLOSS projects’ bug reports can potentially constitute a rich emotionally - imbued information source. 2020-05-05 /pmc/articles/PMC7198247/ http://dx.doi.org/10.1007/978-3-030-47240-5_4 Text en © IFIP International Federation for Information Processing 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Kritikos, Apostolos Venetis, Theodoros Stamelos, Ioannis An Empirical Investigation of Sentiment Analysis of the Bug Tracking Process in Libre Office Open Source Software |
title | An Empirical Investigation of Sentiment Analysis of the Bug Tracking Process in Libre Office Open Source Software |
title_full | An Empirical Investigation of Sentiment Analysis of the Bug Tracking Process in Libre Office Open Source Software |
title_fullStr | An Empirical Investigation of Sentiment Analysis of the Bug Tracking Process in Libre Office Open Source Software |
title_full_unstemmed | An Empirical Investigation of Sentiment Analysis of the Bug Tracking Process in Libre Office Open Source Software |
title_short | An Empirical Investigation of Sentiment Analysis of the Bug Tracking Process in Libre Office Open Source Software |
title_sort | empirical investigation of sentiment analysis of the bug tracking process in libre office open source software |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198247/ http://dx.doi.org/10.1007/978-3-030-47240-5_4 |
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