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Using Bayesian Belief Networks to Model Software Project Management Antipatterns

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5 Author(s)
D. Settas ; Aristotle University of Thessaloniki ; S. Bibi ; P. Sfetsos ; I. Stamelos
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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

Published in:

Fourth International Conference on Software Engineering Research, Management and Applications (SERA'06)

Date of Conference:

9-11 Aug. 2006