Towards a Better Understanding of Team-Driven Dynamics in Agile Software Projects

A Characterization and Visualization Support in JIRA
  • Fabian KortumEmail author
  • Oliver Karras
  • Jil Klünder
  • Kurt Schneider
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11915)


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.


Team behavior Human factors Agile Exploratory analyses Interdependency graph Sprint characterization 



This work was funded by the German Research Society (DFG) under the project name Team Dynamics (2018–2020). Grant number 263807701.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Fabian Kortum
    • 1
    Email author
  • Oliver Karras
    • 1
  • Jil Klünder
    • 1
  • Kurt Schneider
    • 1
  1. 1.Software Engineering GroupLeibniz University HannoverHannoverGermany

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