Details
| Original language | English |
|---|---|
| Number of pages | 232 |
| Publication status | Published - 2022 |
Abstract
ning and development activities, primarily through performance-related
process information, the equally relevant human factors are often in-
sufficiently considered for explaining team dynamics (e.g., the affect of
moods in teams). However, understanding team behavioral patterns are
crucial for the accurate planning and steady execution of development
tasks throughout an ongoing project.
A computer-aided feedback concept is described, unifying interdis-
ciplinary foundations and methods from the software engineering, data
science, organizational, and social psychology fields for disclosing team
dynamics in agile software projects. The concept covers the systematic
capture of sociotechnical data combined with descriptive, predictive,
and exploratory model-based methods that support understanding be-
havioural changes during the development process. Design science from
information systems research is used in academic and industrial case
studies to conceptualize and operationalize the feedback methods into a
practical Jira plugin.
A concluding evaluation through an action research method in two in-
dustrial software projects results in quantitative and qualitative findings
regarding the feedback utilization and utility during agile development
processes (e.g., team communication changes related to accomplished
performances). The case studies underscore the practical relevance for
systematic feedback and the need to better understand human factors
in software projects.
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2022. 232 p.
Research output: Book/Report › Monograph › Research › peer review
}
TY - BOOK
T1 - Supporting the Understanding of Team Dynamics in Agile Software Development Through Computer-Aided Sprint Feedback
AU - Kortum, Fabian
N1 - Doctoral thesis
PY - 2022
Y1 - 2022
N2 - While modern project management systems support teams during plan-ning and development activities, primarily through performance-relatedprocess information, the equally relevant human factors are often in-sufficiently considered for explaining team dynamics (e.g., the affect ofmoods in teams). However, understanding team behavioral patterns arecrucial for the accurate planning and steady execution of developmenttasks throughout an ongoing project.A computer-aided feedback concept is described, unifying interdis-ciplinary foundations and methods from the software engineering, datascience, organizational, and social psychology fields for disclosing teamdynamics in agile software projects. The concept covers the systematiccapture of sociotechnical data combined with descriptive, predictive,and exploratory model-based methods that support understanding be-havioural changes during the development process. Design science frominformation systems research is used in academic and industrial casestudies to conceptualize and operationalize the feedback methods into apractical Jira plugin.A concluding evaluation through an action research method in two in-dustrial software projects results in quantitative and qualitative findingsregarding the feedback utilization and utility during agile developmentprocesses (e.g., team communication changes related to accomplishedperformances). The case studies underscore the practical relevance forsystematic feedback and the need to better understand human factorsin software projects.
AB - While modern project management systems support teams during plan-ning and development activities, primarily through performance-relatedprocess information, the equally relevant human factors are often in-sufficiently considered for explaining team dynamics (e.g., the affect ofmoods in teams). However, understanding team behavioral patterns arecrucial for the accurate planning and steady execution of developmenttasks throughout an ongoing project.A computer-aided feedback concept is described, unifying interdis-ciplinary foundations and methods from the software engineering, datascience, organizational, and social psychology fields for disclosing teamdynamics in agile software projects. The concept covers the systematiccapture of sociotechnical data combined with descriptive, predictive,and exploratory model-based methods that support understanding be-havioural changes during the development process. Design science frominformation systems research is used in academic and industrial casestudies to conceptualize and operationalize the feedback methods into apractical Jira plugin.A concluding evaluation through an action research method in two in-dustrial software projects results in quantitative and qualitative findingsregarding the feedback utilization and utility during agile developmentprocesses (e.g., team communication changes related to accomplishedperformances). The case studies underscore the practical relevance forsystematic feedback and the need to better understand human factorsin software projects.
M3 - Monograph
SN - 978-3-8325-5438-5
BT - Supporting the Understanding of Team Dynamics in Agile Software Development Through Computer-Aided Sprint Feedback
ER -