Using Bayesian Belief Networks to Model Software Project Management Antipatterns

Authors:
Dimitrios Settas;Stamatia Bibi;Panagiotis Sfetsos;Ioannis Stamelos;Vassilis Gerogiannis
Affiliations:
Aristotle University of Thessaloniki;Aristotle University of Thessaloniki, Greece;Aristotle University of Thessaloniki, Greece;Aristotle University of Thessaloniki, Greece;Technological Education Institute, Larisa, Greece
Venue:
SERA '06 Proceedings of the Fourth International Conference on Software Engineering Research, Management and Applications
Year:
2006

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Abstract

In spite of numerous traditional and agile software project management models proposed, process and project modeling still remains an open issue. This paper proposes a Bayesian Network (BN) approach for modeling software project management antipatterns. This approach provides a framework for project managers, who would like to model the cause-effect relationships that underlie an antipattern, taking into account the inherent uncertainty of a software project. The approach is exemplified through a specific BN model of an antipattern. The antipattern is modeled using the empirical results of a controlled experiment on Extreme Programming (XP) that investigated the impact of developer personalities and temperaments on communication, collaboration-pair viability and effectiveness in pair programming. The resulting BN model provides the precise mathematical model of a project management antipattern and can be used to measure and handle uncertainty in mathematical terms.