Bibliographic citations
Vasquez, J., Juarez, D. (2023). Sistema de Información de estimación de costos de proyectos de desarrollo de software basado en la integración de modelos preexistentes (COCOMO, juicio de expertos y similitud) con factor de corrección [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/669284
Vasquez, J., Juarez, D. Sistema de Información de estimación de costos de proyectos de desarrollo de software basado en la integración de modelos preexistentes (COCOMO, juicio de expertos y similitud) con factor de corrección [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/669284
@misc{renati/407864,
title = "Sistema de Información de estimación de costos de proyectos de desarrollo de software basado en la integración de modelos preexistentes (COCOMO, juicio de expertos y similitud) con factor de corrección",
author = "Juarez Ignacio, Daniel Aaron Benito",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
One of the main problems affecting the profitability and sustainability of the software development industry is the lack of accuracy in cost estimates. According to statistics, 63% of software projects have deviations and on average these amount to 45% of the budgeted cost; which causes significant losses for companies in the sector. The objective of this research was to increase the accuracy of software development project cost estimates by implementing a new costing model that integrates the most effective pre-existing models and has the ability to be calibrated as it is used to improve its accuracy. The analysis started with the state of the art of the existing cost estimation methods and the selection of the most used ones for their ease and effectiveness. Once these were available, the costing model was designed to integrate and weight them in order to obtain a consolidated estimate. Finally, a correction factor is applied, which is found by calculating the deviations of past projects, so that the factor calibrates the model and increases the accuracy as it is used. Finally, the research shows all the project management methodology necessary for the development of the system that will support the new costing model. Also, a validation process of the proposed model was done with a sample of Project Managers and the result confirmed the need for its use.
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