A model to detect problems on scrum-based software development projects

Authors:
Mirko Perkusich;Hyggo Oliveira de Almeida;Angelo Perkusich
Affiliations:
Signove Tecnologia S.A., Campina Grande, Brasil;Federal University of Campina Grande, Campina Grande, Brasil;Federal University of Campina Grande, Campina Grande, Brasil
Venue:
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Year:
2013

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Abstract

There is a high rate of software development projects that fails. Whenever problems can be detected ahead of time, software development projects may have better chances of success, and therefore save money and time. In this paper, we present a probabilistic model to help ScrumMasters to apply Scrum in organizations. The model's goal is to provide information to the project's ScrumMaster to help him to be aware of the project's problems and have enough information to guide the team and improve the project's chances of success. We published a survey to collect data for this study and validated the model by applying it to scenarios. The results obtained so far show that the model is promising.