Details
| Original language | English |
|---|---|
| Title of host publication | Product-Focused Software Process Improvement |
| Subtitle of host publication | 20th International Conference, PROFES 2019, Barcelona, Spain, November 27–29, 2019, Proceedings |
| Editors | Xavier Franch, Tomi Männistö, Silverio Martínez-Fernández |
| Pages | 725-740 |
| Number of pages | 16 |
| Edition | 1. |
| ISBN (electronic) | 978-3-030-35333-9 |
| Publication status | Published - 1 Jan 2019 |
| Event | 20th International Conference on Product-Focused Software Process Improvement, PROFES 2019 - Barcelona, Spain Duration: 27 Nov 2019 → 29 Nov 2019 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 11915 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
In agile software development, proper team structures and sprint estimations are crucial aspects to reach high-performance outcomes. Performance can vary due to the influence of social-driven team factors. Resulting in team dynamics with the focus on human factors are usually difficult to capture and thus often not monitored. However, their impact can impede the planning and fulfillment of sprints. Data on team behavior should be simplified to track, analyze, and interpret as sprint influences are important to understand. We provide a centralized solution that extends JIRA functionally and continuously captures sprint characteristics in the daily working environment of teams. In this paper, we describe a JIRA plugin that enables the assessment of team behavior in combination with exploratory analyses. The tool became approached with six software projects and a total of 53 undergraduate students. Characterizations made with the plugin can reveal sprint and team dynamics over time, involving development performance and team-related measures. The feature comes with a feedback mechanism for teams that visualize and implicates the sprint dependencies. The approach reveals a set of team-related sprint dynamics, its systematically capturing, and characterization. With the achieved solution, team leader and developer can be supported to understand the ongoing sprint and team-driven dynamics better. Thus, they can keep track of their habits for future sprint planning and team adjustment impacts.
Keywords
- Agile, Exploratory analyses, Human factors, Interdependency graph, Sprint characterization, Team behavior
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
Cite this
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Product-Focused Software Process Improvement: 20th International Conference, PROFES 2019, Barcelona, Spain, November 27–29, 2019, Proceedings. ed. / Xavier Franch; Tomi Männistö; Silverio Martínez-Fernández. 1. ed. 2019. p. 725-740 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11915 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Towards a Better Understanding of Team-Driven Dynamics in Agile Software Projects
T2 - 20th International Conference on Product-Focused Software Process Improvement, PROFES 2019
AU - Kortum, Fabian
AU - Karras, Oliver
AU - Klünder, Jil
AU - Schneider, Kurt
N1 - Funding information: Acknowledgment. This work was funded by the German Research Society (DFG) under the project name Team Dynamics (2018–2020). Grant number 263807701. This work was funded by the German Research Society (DFG) under the project name Team Dynamics (2018?2020). Grant number 263807701.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - In agile software development, proper team structures and sprint estimations are crucial aspects to reach high-performance outcomes. Performance can vary due to the influence of social-driven team factors. Resulting in team dynamics with the focus on human factors are usually difficult to capture and thus often not monitored. However, their impact can impede the planning and fulfillment of sprints. Data on team behavior should be simplified to track, analyze, and interpret as sprint influences are important to understand. We provide a centralized solution that extends JIRA functionally and continuously captures sprint characteristics in the daily working environment of teams. In this paper, we describe a JIRA plugin that enables the assessment of team behavior in combination with exploratory analyses. The tool became approached with six software projects and a total of 53 undergraduate students. Characterizations made with the plugin can reveal sprint and team dynamics over time, involving development performance and team-related measures. The feature comes with a feedback mechanism for teams that visualize and implicates the sprint dependencies. The approach reveals a set of team-related sprint dynamics, its systematically capturing, and characterization. With the achieved solution, team leader and developer can be supported to understand the ongoing sprint and team-driven dynamics better. Thus, they can keep track of their habits for future sprint planning and team adjustment impacts.
AB - In agile software development, proper team structures and sprint estimations are crucial aspects to reach high-performance outcomes. Performance can vary due to the influence of social-driven team factors. Resulting in team dynamics with the focus on human factors are usually difficult to capture and thus often not monitored. However, their impact can impede the planning and fulfillment of sprints. Data on team behavior should be simplified to track, analyze, and interpret as sprint influences are important to understand. We provide a centralized solution that extends JIRA functionally and continuously captures sprint characteristics in the daily working environment of teams. In this paper, we describe a JIRA plugin that enables the assessment of team behavior in combination with exploratory analyses. The tool became approached with six software projects and a total of 53 undergraduate students. Characterizations made with the plugin can reveal sprint and team dynamics over time, involving development performance and team-related measures. The feature comes with a feedback mechanism for teams that visualize and implicates the sprint dependencies. The approach reveals a set of team-related sprint dynamics, its systematically capturing, and characterization. With the achieved solution, team leader and developer can be supported to understand the ongoing sprint and team-driven dynamics better. Thus, they can keep track of their habits for future sprint planning and team adjustment impacts.
KW - Agile
KW - Exploratory analyses
KW - Human factors
KW - Interdependency graph
KW - Sprint characterization
KW - Team behavior
UR - http://www.scopus.com/inward/record.url?scp=85076534268&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-35333-9_56
DO - 10.1007/978-3-030-35333-9_56
M3 - Conference contribution
AN - SCOPUS:85076534268
SN - 978-3-030-35332-2
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 725
EP - 740
BT - Product-Focused Software Process Improvement
A2 - Franch, Xavier
A2 - Männistö, Tomi
A2 - Martínez-Fernández, Silverio
Y2 - 27 November 2019 through 29 November 2019
ER -