Cuauhtémoc López Martín

49 papers C 7Misc 1Journal 28Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Machine learning models for predicting software design effort.
Sci. Comput. Program.
Cuauhtémoc López Martín
2025 J jnl
Axolotl inspired metaheuristic for software implementation effort prediction.
J. Supercomput.
Cuauhtémoc López Martín, Yenny Villuendas-Rey, Ali Bou Nassif, Noé Oswaldo Rodríguez-Rodríguez
2025 J jnl
Swarm Intelligence for Predicting Software Development Effort.
IEEE Access
Yenny Villuendas-Rey, Cuauhtémoc López Martín, José Luis Velázquez-Rodríguez, Cornelio Yáñez-Márquez
2025 J jnl
Systematic Literature Review on Effort Estimation by Software Development Life Cycle Phases.
IEEE Access
Sulem Martínez-Aguilar, Ángel Juan Sánchez-García, Cuauhtémoc López Martín, Jorge Octavio Ocharán-Hernández
2023 J jnl
Gradient Boosting Optimized Through Differential Evolution for Predicting the Testing Effort of Software Projects.
IEEE Access
Ángel Juan Sánchez-García, Cuauhtémoc López Martín, Alain Abran
2022 J jnl
Machine learning techniques for software testing effort prediction.
Softw. Qual. J.
Cuauhtémoc López Martín
2021 J jnl
Effort prediction for the software project construction phase.
J. Softw. Evol. Process.
Cuauhtémoc López Martín
2021 J jnl
Empirical Analysis on Productivity Prediction and Locality for Use Case Points Method.
CoRR
Mohammad Azzeh, Ali Bou Nassif, Cuauhtémoc López Martín
2021 J jnl
Empirical analysis on productivity prediction and locality for use case points method.
Softw. Qual. J.
Mohammad Azzeh, Ali Bou Nassif, Cuauhtémoc López Martín
2020 Misc conf
Productivity Comparison among Software Projects.
CATA
Cuauhtémoc López Martín
2020 J jnl
Stochastic gradient boosting for predicting the maintenance effort of software-intensive systems.
IET Softw.
Sergio Cerón-Figueroa, Cuauhtémoc López Martín, Cornelio Yáñez-Márquez
2020 J jnl
Transformed
J. Syst. Softw.
Cuauhtémoc López Martín, Yenny Villuendas-Rey, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2019 J jnl
v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects.
CoRR
Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2018 C conf
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points.
ICMLA
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín
2018 J jnl
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points.
CoRR
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín
2018 J jnl
Prediction of Online Students Performance by Means of Genetic Programming.
Appl. Artif. Intell.
Rosa Leonor Ulloa-Cazarez, Cuauhtémoc López Martín, Alain Abran, Cornelio Yáñez-Márquez
2018 J jnl
Support vector regression for predicting software enhancement effort.
Inf. Softw. Technol.
Andrés García-Floriano, Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Alain Abran
2018 C conf
Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects.
ICMLA
Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2017 J jnl
A training process for improving the quality of software projects developed by a practitioner.
CoRR
Cuauhtémoc López Martín, Ali Bou Nassif, Alain Abran
2017 J jnl
A training process for improving the quality of software projects developed by a practitioner.
J. Syst. Softw.
Cuauhtémoc López Martín, Ali Bou Nassif, Alain Abran
2017 C conf
Support Vector Regression for Predicting the Enhancement Duration of Software Projects.
ICMLA
Cuauhtémoc López Martín, Shadi Banitaan, Andrés García-Floriano, Cornelio Yáñez-Márquez
2017 J jnl
Support vector regression for predicting the productivity of higher education graduate students from individually developed software projects.
IET Softw.
Cuauhtémoc López Martín, Rosa Leonor Ulloa-Cazarez, Andrés García-Floriano
2016 C conf
Feedforward Neural Networks for Predicting the Duration of Maintained Software Projects.
ICMLA
Cuauhtémoc López Martín
2016 J jnl
Metaheuristic optimization of multivariate adaptive regression splines for predicting the schedule of software projects.
Neural Comput. Appl.
Ángel Ferreira-Santiago, Cuauhtémoc López Martín, Cornelio Yáñez-Márquez
2015 — conf
A Fuzzy Logic Model for Predicting the Development Schedule of Software Projects.
ITNG
Cuauhtémoc López Martín, Arturo Chavoya, Maria Elena Meda-Campaña
2015 J jnl
Neural networks for predicting the duration of new software projects.
J. Syst. Softw.
Cuauhtémoc López Martín, Alain Abran
2015 J jnl
Predictive accuracy comparison between neural networks and statistical regression for development effort of software projects.
Appl. Soft Comput.
Cuauhtémoc López Martín
2014 C conf
A machine learning technique for predicting the productivity of practitioners from individually developed software projects.
SNPD
Cuauhtémoc López Martín, Arturo Chavoya, Maria Elena Meda-Campaña
2013 — conf
Use of a Feedforward Neural Network for Predicting the Development Duration of Software Projects.
ICMLA (2)
Cuauhtémoc López Martín, Arturo Chavoya, Maria Elena Meda-Campaña
2012 J jnl
Applying Expert Judgment to Improve an Individual's Ability to Predict Software Development Effort.
Int. J. Softw. Eng. Knowl. Eng.
Cuauhtémoc López Martín, Alain Abran
2012 — conf
Finding the Minimal Gene Regulatory Function in the Presence of Undefined Transitional States Using a Genetic Algorithm.
IPCAT
Rocio Chavez-Alvarez, Arturo Chavoya, Cuauhtémoc López Martín
2012 J jnl
Software development effort prediction of industrial projects applying a general regression neural network.
Empir. Softw. Eng.
Cuauhtémoc López Martín, Claudia Isaza, Arturo Chavoya
2011 J jnl
A fuzzy logic model for predicting the development effort of short scale programs based upon two independent variables.
Appl. Soft Comput.
Cuauhtémoc López Martín
2011 — conf
Applying Genetic Programming for Estimating Software Development Effort of Short-scale Projects.
ITNG
Arturo Chavoya, Cuauhtémoc López Martín, Maria Elena Meda-Campaña
2011 J jnl
Applying a general regression neural network for predicting development effort of short-scale programs.
Neural Comput. Appl.
Cuauhtémoc López Martín
2011 — conf
Software Development Effort Estimation in Academic Environments Applying a General Regression Neural Network Involving Size and People Factors.
MCPR
Cuauhtémoc López Martín, Arturo Chavoya, Maria Elena Meda-Campaña
2010 — conf
3D Cell Pattern Generation in Artificial Development.
NICSO
Arturo Chavoya, Irma R. Andalon-Garcia, Cuauhtémoc López Martín, Maria Elena Meda-Campaña
2010 C conf
Applying a Feedforward Neural Network for Predicting Software Development Effort of Short-Scale Projects.
SERA
Ivica Kalichanin-Balich, Cuauhtémoc López Martín
2010 — conf
Software Development Effort Estimation Applying a Fuzzy Logic Model Involving Programming Language Experience.
Software Engineering Research and Practice
Cuauhtémoc López Martín, Arturo Chavoya-Pena, Maria Elena Meda-Campaña
2010 — conf
Software Development Productivity Prediction of Small Programs Using Fuzzy Logic.
ITNG
Cuauhtémoc López Martín, Ivica Kalichanin-Balich, Maria Elena Meda-Campaña, Arturo Chavoya-Pena
2010 J jnl
Use of evolved artificial regulatory networks to simulate 3D cell differentiation.
Biosyst.
Arturo Chavoya, Irma R. Andalon-Garcia, Cuauhtémoc López Martín, Maria Elena Meda-Campaña
2009 C conf
Identification of Petri Net Models Based on an Asymptotic Approach.
ISDA
Maria Elena Meda-Campaña, F. J. Lopez-Lopez, Cuauhtémoc López Martín, Arturo Chavoya-Pena
2009 — conf
Relating Types of Lines of Code for Predicting the Software Development Effort of Small Programs Using a Fuzzy Model: Economizing Variables.
Software Engineering Research and Practice
Cuauhtémoc López Martín, Ivica Kalichanin-Balich, Arturo Chavoya-Pena, Maria Elena Meda-Campaña
2008 J jnl
Adequacy Checking of Personal Software Development Effort Estimation Models Based upon Fuzzy Logic: A Replicated Experiment.
Computación y Sistemas
Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustín Gutiérrez-Tornés, Edgardo Manuel Felipe-Riverón
2008 J jnl
Predictive accuracy comparison of fuzzy models for software development effort of small programs.
J. Syst. Softw.
Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustín Gutiérrez-Tornés
2007 — conf
An Empirical Validation of the Relationship Between MRE and Effort on Small Programs.
Software Engineering Research and Practice
Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustín Gutiérrez-Tornés
2007 — conf
Fuzzy Models for Software Development Effort Estimation of Small Programs: A Comparison Based Upon MMER as Well as Heteroscedasticity.
Software Engineering Research and Practice
Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustín Gutiérrez-Tornés
2006 — conf
A Fuzzy Logic Model for Software Development Effort Estimation at Personal Level.
MICAI
Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustín Gutiérrez-Tornés
2005 — conf
Software Development Effort Estimation Using Fuzzy Logic: A Case Study.
ENC
Cuauhtémoc López Martín, Jérôme Leboeuf Pasquier, Cornelio Yáñez-Márquez, Agustín Gutiérrez-Tornés