Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | ESEM '22 |
| Untertitel | Proceedings of the 16th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement |
| Herausgeber/-innen | Gregor Engels, Regina Hebig, Matthias Tichy |
| Herausgeber (Verlag) | Gesellschaft fur Informatik (GI) |
| Seiten | 73-74 |
| Seitenumfang | 2 |
| ISBN (elektronisch) | 9783885797265 |
| Publikationsstatus | Veröffentlicht - 19 Sept. 2022 |
| Veranstaltung | 2023 Fachtagung des GI-Fachbereichs Softwaretechnik, Software Engineering 2023 - 2023 Conference of the GI Software Engineering Division, Software Engineering 2023 - Paderborn, Deutschland Dauer: 20 Feb. 2023 → 24 Feb. 2023 |
Publikationsreihe
| Name | Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI) |
|---|---|
| Band | P-332 |
| ISSN (Print) | 1617-5468 |
| ISSN (elektronisch) | 2944-7682 |
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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Angewandte Informatik
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- BibTex
- RIS
ESEM '22: Proceedings of the 16th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement. Hrsg. / Gregor Engels; Regina Hebig; Matthias Tichy. Gesellschaft fur Informatik (GI), 2022. S. 73-74 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Band P-332).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Meetings and Mood
T2 - 2023 Fachtagung des GI-Fachbereichs Softwaretechnik, Software Engineering 2023 - 2023 Conference of the GI Software Engineering Division, Software Engineering 2023
AU - Klünder, Jil
AU - Karras, Oliver
PY - 2022/9/19
Y1 - 2022/9/19
N2 - 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.
AB - 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.
KW - meeting
KW - mood
KW - sentiment analysis
KW - Software development teams
UR - http://www.scopus.com/inward/record.url?scp=85150072290&partnerID=8YFLogxK
U2 - 10.1145/3544902.3546252
DO - 10.1145/3544902.3546252
M3 - Conference contribution
AN - SCOPUS:85150072290
T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
SP - 73
EP - 74
BT - ESEM '22
A2 - Engels, Gregor
A2 - Hebig, Regina
A2 - Tichy, Matthias
PB - Gesellschaft fur Informatik (GI)
Y2 - 20 February 2023 through 24 February 2023
ER -