Meetings and Mood - Related or Not? Insights from Student Software Projects (Summary)
Abstract
Meetings are part of most software projects which is why they have been frequently analyzed by researchers. Often, this research focuses on the interactions. We analyze meetings from a more abstract view by applying sentiment analysis to the statements made during the meeting. That is, we analyze whether the statements are positive, negative, or neutral, and how the statements made are related to the mood of a team before and after the meeting. Our results are based on insights from 21 student software projects and show some interesting findings, including that the amount of positive and negative statements during the meeting has no measurable influence on the mood afterwards. This summary refers to the paper “Meetings and Mood – Related or Not? Insights from Student Software Projects” [KK22]. This paper was published in the proceedings of the 16th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2022.
- Citation
- BibTeX
Klünder, J. & Karras, O.,
(2023).
Meetings and Mood - Related or Not? Insights from Student Software Projects (Summary).
In:
Engels, G., Hebig, R. & Tichy, M.
(Hrsg.),
Software Engineering 2023.
Bonn:
Gesellschaft für Informatik e.V..
(S. 73-74).
@inproceedings{mci/Klünder2023,
author = {Klünder, Jil AND Karras, Oliver},
title = {Meetings and Mood - Related or Not? Insights from Student Software Projects (Summary)},
booktitle = {Software Engineering 2023},
year = {2023},
editor = {Engels, Gregor AND Hebig, Regina AND Tichy, Matthias} ,
pages = { 73-74 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Klünder, Jil AND Karras, Oliver},
title = {Meetings and Mood - Related or Not? Insights from Student Software Projects (Summary)},
booktitle = {Software Engineering 2023},
year = {2023},
editor = {Engels, Gregor AND Hebig, Regina AND Tichy, Matthias} ,
pages = { 73-74 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info
ISBN: 978-3-88579-726-5
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2023
Language:
(en)

Content Type: Text/Conference Paper