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SimKan: Training Kanban Practices Through Stochastic Simulation

  • Francisco Jose Rego LopesEmail author
  • Fabio Petrillo
Conference paper
  • 1k Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 680)

Abstract

Kanban is a software development methodology that has grown and gained more supporters. Proportional of this growth, dissemination of knowledge in the use of its practices is essential. Moreover, training in software processes is not always a trivial endeavour, and exploring some project practices in traditional training rooms can be a complex task. This paper proposes SimKan, an analogical serious game for training Kanban practices. SimKan uses stochastic simulation to introduce aspects of randomness in the game, allowing a quasi-true experience on Kanban, performing in a short time-frame and using simple tools. Our results show that SimKan is adequate to train teams in Kanban, bringing positive results in a short time-frame and with low cost.

Keywords

Stochastic Simulation Service Level Agreement Service Classis Work Item Real Project 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Universidade Estadual do Ceara (UECE)FortalezaBrazil
  2. 2.Instituto de InformaticaUniversidade Federal do Rio Grande do Sul (UFRGS)Porto AlegreBrazil

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