Juan Murillo-Morera

A genetic algorithm based framework for software effort prediction

Christian Quesada-López, Marcelo Jenkins, Carlos Castro-Herrera, 2017, Journal of Software Engineering Research and Development.

COSMIC base functional components in Functional Size based effort estimation models

Christian Quesada-López, Marcelo Jenkins, Carlos Castro-Herrera, 2016, 2016 IEEE 36th Central American and Panama Convention (CONCAPAN XXXVI).

An Empirical Validation of Learning Schemes Using an Automated Genetic Defect Prediction Framework

Rubén Fuentes-Fernández, Carlos Castro-Herrera, Juan Murillo-Morera, 2016, IBERAMIA.

A Software Defect-Proneness Prediction Framework: A new approach using genetic algorithms to generate learning schemes.

Marcelo Jenkins, Juan Murillo-Morera, 2015, ICSE 2015.

A Software Defect-Proneness Prediction Framework: A new approach using genetic algorithms to generate learning schemes

Marcelo Jenkins, Juan Murillo-Morera, 2015, SEKE.

An Automated Defect Prediction Framework using Genetic Algorithms: A Validation of Empirical Studies

Rubén Fuentes-Fernández, Carlos Castro-Herrera, Juan Murillo-Morera, 2016 .

An empirical evaluation of NASA-MDP data sets using a genetic defect-proneness prediction framework

Christian Quesada-López, Marcelo Jenkins, Carlos Castro-Herrera, 2016, 2016 IEEE 36th Central American and Panama Convention (CONCAPAN XXXVI).

Software Fault Prediction: A Systematic Mapping Study

Christian Quesada-López, Marcelo Jenkins, Juan Murillo-Morera, 2015, CIbSE.

An Empirical Validation of an Automated Genetic Software Effort Prediction Framework using the ISBSG Dataset

Christian Quesada-López, Marcelo Jenkins, Carlos Castro-Herrera, 2016, CIbSE.

Emotions and programming learning: systematic mapping

Mayela Coto, Sonia Mora Rivera, Beatriz Eugenia Grass, 2021, Comput. Sci. Educ..