Software Effort Estimation: the Elusive Goal in Project Management

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{dolado:1999:ICEIS,

• author = "J. Javier Dolado and Luis Fernandez and M. Carmen Otero and Leire Urkola",
• title = "Software Effort Estimation: the Elusive Goal in Project Management",
• booktitle = "International Conference on Enterprise Information Systems 1999",
• year = "1999",
• pages = "412--418",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "972-98050-0-8",
• URL = "http://www.sc.ehu.es/jiwdocoj/docs/dofeotur.ps",
• 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

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