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.
|Title of host publication||Proceedings - Fourth International Conference on Software Engineering Research, Management and Applications, SERA 2006|
|Number of pages||8|
|Publication status||Published - 2006|
|Event||4th International Conference on Software Engineering Research, Management and Applications, SERA 2006 - Seattle, WA, United States|
Duration: 9 Aug 2006 → 11 Aug 2006
|Other||4th International Conference on Software Engineering Research, Management and Applications, SERA 2006|
|Period||9/08/06 → 11/08/06|