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.
Original language | English |
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Title of host publication | Proceedings - Fourth International Conference on Software Engineering Research, Management and Applications, SERA 2006 |
Pages | 117-124 |
Number of pages | 8 |
DOIs | |
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
Other | 4th International Conference on Software Engineering Research, Management and Applications, SERA 2006 |
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Country/Territory | United States |
City | Seattle, WA |
Period | 9/08/06 → 11/08/06 |