On the problem of the software cost function |
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| Affiliation: | 1. School of Computing, Edinburgh Napier University, 10 Colinton Road, Edinburgh, Scotland EH10 5DT, United Kingdom;2. Departamento de Ingeniería Informática y de Sistemas, Universidad de La Laguna, San Cristóbal de La Laguna, Spain;3. Institute of Information Systems, University of Hamburg, Hamburg, Germany;4. Escuela de Ingeniería Industrial, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile;1. Dental Faculty, Strasbourg, France;2. University Radiation Department, Strasbourg, France;3. Radiotherapy Department, North Middlesex University Hospital NHS Trust, London, England;4. Radiation Oncology Department, University of Rochester Medical Center, Rochester, New York |
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| Abstract: | The question of finding a function for software cost estimation is a long-standing issue in the software engineering field. The results of other works have shown different patterns for the unknown function, which relates software size to project cost (effort). In this work, the research about this problem has been made by using the technique of Genetic Programming (GP) for exploring the possible cost functions. Both standard regression analysis and GP have been applied and compared on several data sets. However, regardless of the method, the basic size–effort relationship does not show satisfactory results, from the predictive point of view, across all data sets. One of the results of this work is that we have not found significant deviations from the linear model in the software cost functions. This result comes from the marginal cost analysis of the equations with best predictive values. |
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