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WorldCist'17 - 5th World Conference on Information Systems and Technologies

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Estimating User Stories’ complexity and importance in Scrum with Bayesian Networks

Planning Poker is a light-weight technique for estimating the size of user stories, with face-to-face interaction and discussions. It is generally used with Scrum. Planning Poker has a lot of benefits. However, this method is not entirely efficient because the result is always based on the observation of an expert. This paper proposes a model to estimate the complexity and importance to the user story based on Scrum and Planning Poker. The goal of this work is to facilitate the decision making of newbie developers when they estimate a user story. Hence, the decision of each member would be clearer to understand than when the complexity is taken as a whole. We use a Bayesian Network to co-relate
factors to have accurate in the estimation. The Bayesian Network gives the complexity of a user story, according to the Fibonacci scale used in Planning Poker.

Author(s):

Janeth López-Martínez    
Universidad Autónoma de Baja California
Mexico

Reyes Juárez-Ramírez    
Universidad Autónoma de Baja California
Mexico

Alan Ramírez-Noriega    
Universidad Autónoma de Baja California
Mexico

Guillermo Licea    
Universidad Autónoma de Baja California
Mexico

Raúl Navarro-Almanza    
Universidad Autónoma de Baja California
Mexico

 

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