Details
| Original language | English |
|---|---|
| Title of host publication | Human-Centered Software Engineering |
| Editors | Regina Bernhaupt, Carmelo Ardito, Stefan Sauer |
| Place of Publication | Cham |
| Publisher | Springer International Publishing AG |
| Pages | 90-109 |
| Number of pages | 20 |
| ISBN (electronic) | 978-3-031-14785-2 |
| ISBN (print) | 978-3-031-14784-5 |
| Publication status | Published - 16 Aug 2022 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 13482 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
Sentiment analysis is an established possibility to gain an overview of the team mood in software projects. A software analyzes text-based communication with regards to the used wording, i.e., whether a statement is likely to be perceived positive, negative, or neutral by the receiver of said message. However, despite several years of research on sentiment analysis in software engineering, the tools still have several weaknesses including misclassifications, the impossibility to detect negotiations, irony, or sarcasm. Another huge issue is the retrospective analysis of the communication: The team receives the results of the analysis at best at the end of the day, but not in realtime. This way, it is impossible to react and to improve the communication by adjusting a message before sending it. To reduce this issue, in this paper, we present a concept for realtime sentiment analysis in software projects and evaluate it in a user study with twelve practitioners. We were in particular interested in how realtime sentiment analysis can be integrated in the developers’ daily lives and whether it appears to be helpful. Despite the still missing long-term case study in practice, the results of our study point to the usefulness of such kind of analysis.
Keywords
- Realtime feedback, Sentiment analysis, Social aspects, Software project, Team mood
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
Cite this
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Human-Centered Software Engineering. ed. / Regina Bernhaupt; Carmelo Ardito; Stefan Sauer. Cham: Springer International Publishing AG, 2022. p. 90-109 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13482 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - On the Potentials of Realtime Sentiment Analysis on Text-Based Communication in Software Projects
AU - Schroth, Lennart
AU - Obaidi, Martin
AU - Specht, Alexander
AU - Klünder, Jil
N1 - Funding Information: Acknowledgment. This research was funded by the Leibniz University Hannover as a Leibniz Young Investigator Grant (Project ComContA, Project Number 85430128, 2020–2022).
PY - 2022/8/16
Y1 - 2022/8/16
N2 - Sentiment analysis is an established possibility to gain an overview of the team mood in software projects. A software analyzes text-based communication with regards to the used wording, i.e., whether a statement is likely to be perceived positive, negative, or neutral by the receiver of said message. However, despite several years of research on sentiment analysis in software engineering, the tools still have several weaknesses including misclassifications, the impossibility to detect negotiations, irony, or sarcasm. Another huge issue is the retrospective analysis of the communication: The team receives the results of the analysis at best at the end of the day, but not in realtime. This way, it is impossible to react and to improve the communication by adjusting a message before sending it. To reduce this issue, in this paper, we present a concept for realtime sentiment analysis in software projects and evaluate it in a user study with twelve practitioners. We were in particular interested in how realtime sentiment analysis can be integrated in the developers’ daily lives and whether it appears to be helpful. Despite the still missing long-term case study in practice, the results of our study point to the usefulness of such kind of analysis.
AB - Sentiment analysis is an established possibility to gain an overview of the team mood in software projects. A software analyzes text-based communication with regards to the used wording, i.e., whether a statement is likely to be perceived positive, negative, or neutral by the receiver of said message. However, despite several years of research on sentiment analysis in software engineering, the tools still have several weaknesses including misclassifications, the impossibility to detect negotiations, irony, or sarcasm. Another huge issue is the retrospective analysis of the communication: The team receives the results of the analysis at best at the end of the day, but not in realtime. This way, it is impossible to react and to improve the communication by adjusting a message before sending it. To reduce this issue, in this paper, we present a concept for realtime sentiment analysis in software projects and evaluate it in a user study with twelve practitioners. We were in particular interested in how realtime sentiment analysis can be integrated in the developers’ daily lives and whether it appears to be helpful. Despite the still missing long-term case study in practice, the results of our study point to the usefulness of such kind of analysis.
KW - Realtime feedback
KW - Sentiment analysis
KW - Social aspects
KW - Software project
KW - Team mood
UR - http://www.scopus.com/inward/record.url?scp=85133512051&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-14785-2_6
DO - 10.1007/978-3-031-14785-2_6
M3 - Conference contribution
SN - 978-3-031-14784-5
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 90
EP - 109
BT - Human-Centered Software Engineering
A2 - Bernhaupt, Regina
A2 - Ardito, Carmelo
A2 - Sauer, Stefan
PB - Springer International Publishing AG
CY - Cham
ER -