Software Effort Estimation: the Elusive Goal in Project Management
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{dolado:1999:ICEIS,
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author = "J. Javier Dolado and Luis Fernandez and
M. Carmen Otero and Leire Urkola",
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title = "Software Effort Estimation: the Elusive Goal in
Project Management",
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booktitle = "International Conference on Enterprise Information
Systems 1999",
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year = "1999",
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pages = "412--418",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "972-98050-0-8",
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URL = "http://www.sc.ehu.es/jiwdocoj/docs/dofeotur.ps",
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abstract = "The estimation of the effort to be spent in a software
project is a problem still open. Having a good
estimation of the variables just at the beginning of a
project makes the project manager confident about the
future course of the actions, since many of the
decisions taken during the development depend on, or
are influenced by, the initial estimations. The root of
the problems can be attributed to the different methods
of analysis used, and to the way with which they are
applied. On one hand we may not use the adequate
independent variables for prediction and/or we may not
build the correct predictive equations. On the other
hand we could think that the method of prediction has
some effect on the predictions, meaning that it is not
the same to use classical regression or other methods
of analysis. We have applied linear regression, neural
networks and genetic programming to several datasets.
We infer that the problem of accurate software
estimation by means of mathematical analysis of simple
relationships solely isn?t going to be inmediately
solved.",
-
notes = "http://www.iceis.org/iceis2003/abstracts_1999.htm",
- }
Genetic Programming entries for
Jose Javier Dolado Cosin
Luis Fernandez
M Carmen Otero
Leire Urkola
Citations