Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Human-Centered Software Engineering |
| Untertitel | 10th IFIP WG 13.2 International Working Conference, HCSE 2024, Proceedings |
| Herausgeber/-innen | Marta Kristín Lárusdóttir, Bilal Naqvi, Regina Bernhaupt, Carmelo Ardito, Stefan Sauer |
| Herausgeber (Verlag) | Springer Science and Business Media Deutschland GmbH |
| Seiten | 105-129 |
| Seitenumfang | 25 |
| ISBN (elektronisch) | 978-3-031-64576-1 |
| ISBN (Print) | 9783031645754 |
| Publikationsstatus | Veröffentlicht - 1 Juli 2024 |
| Veranstaltung | 10th IFIP WG 13.2 International Working Conference on Human-Centered Software Engineering, HCSE 2024 - Reykjavik, Finnland Dauer: 8 Juli 2024 → 10 Juli 2024 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 14793 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
Due to the increasing size of software projects, they usually require team work and a sufficient amount of communication, which can influence team mood. However, this communication is often not adequate by means of tone and language. Sentiment analysis tools can be used to prevent this problem by investigating the mood conveyed by text-based communication. Most studies aim to improve or develop sentiment analysis tools for a better prediction of the sentiments raised by a specific communication behavior. The tools were often tested in a small experimental group settings (e.g. academia or open-source), but only very few studies applied the tools in industrial software projects. In this paper, we focus on the feasibility and usefulness of a state-of-the-art sentiment analysis tool in industrial settings. We conducted a user study over 4 months, in which twelve practitioners used a sentiment analysis tool and received weekly information on the sentiments conveyed with their text-based communication in group chats. This way, we evaluated the general feasibility of sentiment analysis in industry. Afterwards, we conducted an interview study with six of the twelve participants to get feedback. This way, we validated the insights gained from the user study and evaluated whether the application of sentiment analysis is useful in industrial software projects. We also investigated which improvements are necessary in order to increase the usefulness of sentiment analysis. Every participant reported that such a tool is suited for the use in software projects. However, they also pointed out some improvements that are required to increase its usefulness. These improvements include explanations, dashboards, and sarcasm detection.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
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Human-Centered Software Engineering : 10th IFIP WG 13.2 International Working Conference, HCSE 2024, Proceedings. Hrsg. / Marta Kristín Lárusdóttir; Bilal Naqvi; Regina Bernhaupt; Carmelo Ardito; Stefan Sauer. Springer Science and Business Media Deutschland GmbH, 2024. S. 105-129 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 14793 LNCS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - What is Needed to Apply Sentiment Analysis in Real Software Projects
T2 - 10th IFIP WG 13.2 International Working Conference on Human-Centered Software Engineering, HCSE 2024
AU - Specht, Alexander
AU - Obaidi, Martin
AU - Nagel, Lukas
AU - Stess, Marek
AU - Klünder, Jil
N1 - Publisher Copyright: © IFIP International Federation for Information Processing 2024.
PY - 2024/7/1
Y1 - 2024/7/1
N2 - Due to the increasing size of software projects, they usually require team work and a sufficient amount of communication, which can influence team mood. However, this communication is often not adequate by means of tone and language. Sentiment analysis tools can be used to prevent this problem by investigating the mood conveyed by text-based communication. Most studies aim to improve or develop sentiment analysis tools for a better prediction of the sentiments raised by a specific communication behavior. The tools were often tested in a small experimental group settings (e.g. academia or open-source), but only very few studies applied the tools in industrial software projects. In this paper, we focus on the feasibility and usefulness of a state-of-the-art sentiment analysis tool in industrial settings. We conducted a user study over 4 months, in which twelve practitioners used a sentiment analysis tool and received weekly information on the sentiments conveyed with their text-based communication in group chats. This way, we evaluated the general feasibility of sentiment analysis in industry. Afterwards, we conducted an interview study with six of the twelve participants to get feedback. This way, we validated the insights gained from the user study and evaluated whether the application of sentiment analysis is useful in industrial software projects. We also investigated which improvements are necessary in order to increase the usefulness of sentiment analysis. Every participant reported that such a tool is suited for the use in software projects. However, they also pointed out some improvements that are required to increase its usefulness. These improvements include explanations, dashboards, and sarcasm detection.
AB - Due to the increasing size of software projects, they usually require team work and a sufficient amount of communication, which can influence team mood. However, this communication is often not adequate by means of tone and language. Sentiment analysis tools can be used to prevent this problem by investigating the mood conveyed by text-based communication. Most studies aim to improve or develop sentiment analysis tools for a better prediction of the sentiments raised by a specific communication behavior. The tools were often tested in a small experimental group settings (e.g. academia or open-source), but only very few studies applied the tools in industrial software projects. In this paper, we focus on the feasibility and usefulness of a state-of-the-art sentiment analysis tool in industrial settings. We conducted a user study over 4 months, in which twelve practitioners used a sentiment analysis tool and received weekly information on the sentiments conveyed with their text-based communication in group chats. This way, we evaluated the general feasibility of sentiment analysis in industry. Afterwards, we conducted an interview study with six of the twelve participants to get feedback. This way, we validated the insights gained from the user study and evaluated whether the application of sentiment analysis is useful in industrial software projects. We also investigated which improvements are necessary in order to increase the usefulness of sentiment analysis. Every participant reported that such a tool is suited for the use in software projects. However, they also pointed out some improvements that are required to increase its usefulness. These improvements include explanations, dashboards, and sarcasm detection.
KW - feasibility study
KW - sentiment analysis
KW - social aspects and behaviors
KW - Software project
UR - http://www.scopus.com/inward/record.url?scp=85200201955&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-64576-1_6
DO - 10.1007/978-3-031-64576-1_6
M3 - Conference contribution
AN - SCOPUS:85200201955
SN - 9783031645754
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 105
EP - 129
BT - Human-Centered Software Engineering
A2 - Lárusdóttir, Marta Kristín
A2 - Naqvi, Bilal
A2 - Bernhaupt, Regina
A2 - Ardito, Carmelo
A2 - Sauer, Stefan
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 8 July 2024 through 10 July 2024
ER -