IT Project Variables in the Balance: A Bayesian Approach to Prediction of Support Costs

In the context of Information Technology (IT) project management, it is commonly accepted that the costs associated with support actions are strongly influenced by the effort spent during their development and test phases. Despite the importance of systematically characterizing and understanding thi...

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Bibliographic Details
Published in2011 25th Brazilian Symposium on Software Engineering pp. 224 - 232
Main Authors Dalmazo, B. L., de Sousa, A. L. R., Cordeiro, W. L., Wickboldt, J. A., Lunardi, R. C., dos Santos, Ricardo L., Gaspary, L. P., Granville, L. Z., Bartolini, C., Hickey, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
Bayesian methods
bayesian networks
Computational modeling
Computer integrated manufacturing
IT cost
Laboratories
Laser radar
Project management
Software
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Summary:In the context of Information Technology (IT) project management, it is commonly accepted that the costs associated with support actions are strongly influenced by the effort spent during their development and test phases. Despite the importance of systematically characterizing and understanding this relationship, little has been done in this realm mainly due to the lack of proper mechanisms for both sharing information between IT project phases and learning from past experiences. To tackle this issue, we present a Bayesian model to perform support cost predictions based on data from software development and test phases. In addition, we present a qualitative and quantitative analysis of the model, in order to demonstrate its effectiveness and efficiency, and also discuss its potentialities and limitations.
ISBN:9781457721878
1457721872
DOI:10.1109/SBES.2011.37