Resumen

FERREIRA LORENZO, Gheisa Lucía; GALVEZ LIO, Daniel; QUINTERO DOMINGUEZ, Luis Alberto  y  ANTON VARGAS, Jarvin. Effort estimation of software projects using artificial intelligence techniques. Rev cuba cienc informat [online]. 2014, vol.8, n.4, pp. 01-20. ISSN 2227-1899.

Algorithmic models of cost and effort estimation based on regression analysis of historical data abound in the literature. Among the most popular models are COCOMO, SLIM, Function Points. However, since the 90's, models based on Artificial Intelligence techniques, mainly in Machine Learning techniques have been used to improve the accuracy of the estimates. These models are based on the use of data collected in previous projects in which estimates were made and the application of different knowledge extraction techniques, in order to make estimates more efficient, effective and, if possible, more precise. The aim of this paper is to present an analysis of some of these techniques and how they have been applied in estimating the effort in software projects.

Palabras clave : artificial intelligence; effort estimation; project management; software engineering.

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