Analizando el Efecto de las Variables en la Estimación del Esfuerzo de Desarrollo de Software. (Analyzing the Effect of Variables in the Software Development Effort Estimation)

Hector Velarde (, Cosme Santiesteban (, Ana Garcia (, Jorge Casillas (

1Universidad Católica de Santa María de Arequipa
2Centro de Bioplantas. Universidad de Ciego de Avila
3División Territorial Villa Clara, DESOFT
4Universidad de Granada

This paper appears in: Revista IEEE América Latina

Publication Date: Aug. 2016
Volume: 14,   Issue: 8 
ISSN: 1548-0992

Due to the variability of variables, the estimation of effort in software development is considered as a very difficult task. Maybe due to small databases, uncertain and very subjective information. For these reason, in this paper, we introduce a study of the effect of variables in the software development effort estimation process. The estimation employing lines of codes, function points and engineering task, were taken as reference. With the use of datamining and machine learning technics, were demonstrated that the effort estimation using engineering task is more accurate. And, by the other hand, was established the influence of each variable, in the software development effort estimation process.

Index Terms:
Datamining, Effort estimation, Decision Trees, Regression Trees, Software metrics, Software projects, Variables selection   

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