Details
Originalsprache | Englisch |
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Titel des Sammelwerks | Software Engineering 2020 - Fachtagung des GI-Fachbereichs Softwaretechnik |
Untertitel | Fachtagung des GI-Fachbereichs Softwaretechnik, 24.-28. Februar 2020, Innsbruck, Austria |
Herausgeber/-innen | Michael Felderer, Wilhelm Hasselbring, Rick Rabiser, Reiner Jung |
Seiten | 67-69 |
Seitenumfang | 3 |
ISBN (elektronisch) | 9783885796947 |
Publikationsstatus | Veröffentlicht - 2020 |
Publikationsreihe
Name | Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI) |
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Band | P-300 |
ISSN (Print) | 1617-5468 |
ISSN (elektronisch) | 2944-7682 |
Abstract
This paper with the title "Behavior-Driven Dynamics in Agile Development: The Effect of Fast Feedback on Teams" was published as full paper [KKS19] in the proceedings of the International Conference on Software and System Processes (ICSSP) in 2019. Agile software development teams strive for fast and continuous feedback. Both the quality of the resulting software and the performance of the team require feedback. The performance of development teams is often addressed in retrospectives, which are not only part of the SCRUM framework, but also in various customized development processes. Reflecting on incidents during the last sprint helps the team to increase its performances, expressed by, e.g., efficiency and productivity. However, it is not only essential to identify volatile sprint performances, but also to characterize the root causes. The main reasons for low performance are often not visible, in particular when they are related to social-driven team behavior, such as communication structures, mood, or satisfaction. In this paper, we analyze whether automated team feedback about retrospective sprint-behavior can help the team to increase performances by additional awareness about the dynamic effects over time. In a comparative case study with 15 software projects and a total of 130 undergraduate students, we investigated the sustainable impact of feedback on human aspects. Our results indicate that automated feedback positively affects team performances - and customer satisfaction.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Angewandte Informatik
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Software Engineering 2020 - Fachtagung des GI-Fachbereichs Softwaretechnik: Fachtagung des GI-Fachbereichs Softwaretechnik, 24.-28. Februar 2020, Innsbruck, Austria. Hrsg. / Michael Felderer; Wilhelm Hasselbring; Rick Rabiser; Reiner Jung. 2020. S. 67-69 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Band P-300).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Behavior-Driven Dynamics in Agile Development
T2 - The Effect of Fast Feedback on Teams
AU - Kortum, Fabian
AU - Klünder, Jil
AU - Schneider, Kurt
N1 - Publisher Copyright: © 2020 Gesellschaft fur Informatik (GI). All rights reserved.
PY - 2020
Y1 - 2020
N2 - This paper with the title "Behavior-Driven Dynamics in Agile Development: The Effect of Fast Feedback on Teams" was published as full paper [KKS19] in the proceedings of the International Conference on Software and System Processes (ICSSP) in 2019. Agile software development teams strive for fast and continuous feedback. Both the quality of the resulting software and the performance of the team require feedback. The performance of development teams is often addressed in retrospectives, which are not only part of the SCRUM framework, but also in various customized development processes. Reflecting on incidents during the last sprint helps the team to increase its performances, expressed by, e.g., efficiency and productivity. However, it is not only essential to identify volatile sprint performances, but also to characterize the root causes. The main reasons for low performance are often not visible, in particular when they are related to social-driven team behavior, such as communication structures, mood, or satisfaction. In this paper, we analyze whether automated team feedback about retrospective sprint-behavior can help the team to increase performances by additional awareness about the dynamic effects over time. In a comparative case study with 15 software projects and a total of 130 undergraduate students, we investigated the sustainable impact of feedback on human aspects. Our results indicate that automated feedback positively affects team performances - and customer satisfaction.
AB - This paper with the title "Behavior-Driven Dynamics in Agile Development: The Effect of Fast Feedback on Teams" was published as full paper [KKS19] in the proceedings of the International Conference on Software and System Processes (ICSSP) in 2019. Agile software development teams strive for fast and continuous feedback. Both the quality of the resulting software and the performance of the team require feedback. The performance of development teams is often addressed in retrospectives, which are not only part of the SCRUM framework, but also in various customized development processes. Reflecting on incidents during the last sprint helps the team to increase its performances, expressed by, e.g., efficiency and productivity. However, it is not only essential to identify volatile sprint performances, but also to characterize the root causes. The main reasons for low performance are often not visible, in particular when they are related to social-driven team behavior, such as communication structures, mood, or satisfaction. In this paper, we analyze whether automated team feedback about retrospective sprint-behavior can help the team to increase performances by additional awareness about the dynamic effects over time. In a comparative case study with 15 software projects and a total of 130 undergraduate students, we investigated the sustainable impact of feedback on human aspects. Our results indicate that automated feedback positively affects team performances - and customer satisfaction.
KW - Agile
KW - Information transparency
KW - Pro-active feedback
KW - Retrospectives
KW - Team dynamics
UR - http://www.scopus.com/inward/record.url?scp=85138679325&partnerID=8YFLogxK
U2 - 10.18420/SE2020_18
DO - 10.18420/SE2020_18
M3 - Conference contribution
T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
SP - 67
EP - 69
BT - Software Engineering 2020 - Fachtagung des GI-Fachbereichs Softwaretechnik
A2 - Felderer, Michael
A2 - Hasselbring, Wilhelm
A2 - Rabiser, Rick
A2 - Jung, Reiner
ER -