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26th Annual International Computer Software and Applications Conference
An Investigation of Prediction Models for Project Management
Oxford, England
August 26-August 29
ISBN: 0-7695-1727-7
ASCII Text
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Daniel Rodríguez, Rachel Harrison, Manoranjan Satpathy, Javier Dolado, "An Investigation of Prediction Models for Project Management," Computer Software and Applications Conference, Annual International, pp. 779, 26th Annual International Computer Software and Applications Conference, 2002.
 
 
BibTex
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@article{ 10.1109/CMPSAC.2002.1045099,
author = {Daniel Rodríguez and Rachel Harrison and Manoranjan Satpathy and Javier Dolado},
title = {An Investigation of Prediction Models for Project Management},
journal ={Computer Software and Applications Conference, Annual International},
volume = {0},
year = {2002},
issn = {0730-3157},
pages = {779},
doi = {http://doi.ieeecomputersociety.org/10.1109/CMPSAC.2002.1045099},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Software and Applications Conference, Annual International
TI - An Investigation of Prediction Models for Project Management
SN - 0730-3157
SP
EP
A1 - Daniel Rodríguez,
A1 - Rachel Harrison,
A1 - Manoranjan Satpathy,
A1 - Javier Dolado,
PY - 2002
KW - Experimentation
KW - Bayesian Networks
KW - Estimates
VL - 0
JA - Computer Software and Applications Conference, Annual International
ER -
 
Daniel Rodríguez, University of Reading
Rachel Harrison, University of Reading
Manoranjan Satpathy, University of Reading
Javier Dolado, University of the Basque Country
It has been claimed that dynamic prediction models can be used to help project managers make more accurate estimates than static prediction models. However, such a claim needs to be validated so that project managers can use dynamic models with confidence. In this paper, we discuss an experiment we conducted in an academic environment that compared a dynamic model using BBNs with a static model involving the COCOMO and Akiyama models. The results from this experiment in fact validate the above claim. However, we suggest replication of this experiment in order to increase confidence to our results.
Index Terms:
Experimentation, Bayesian Networks, Estimates
Citation:
Daniel Rodríguez, Rachel Harrison, Manoranjan Satpathy, Javier Dolado, "An Investigation of Prediction Models for Project Management," compsac, pp.779, 26th Annual International Computer Software and Applications Conference, 2002
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