A genetic algorithm based framework for software effort prediction

Abstract Background Several prediction models have been proposed in the literature using different techniques obtaining different results in different contexts. The need for accurate effort predictions for projects is one of the most critical and complex issues in the software industry. The automate...

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Bibliographic Details
Main Authors: Juan Murillo-Morera, Christian Quesada-López, Carlos Castro-Herrera, Marcelo Jenkins
Format: Article
Language:English
Published: Sociedade Brasileira de Computação and Comissão Especial de Engenharia de Software 2017-05-01
Series:Journal of Software Engineering Research and Development
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40411-017-0037-x