Software Development Effort Estimation Using Fuzzy Logic: A Case Study. - Cuauhtémoc López Martín; Jérôme Leboeuf Pasquier; Cornelio Yáñez-Márquez; Agustin Gutierrez-Tornes (ENC, 2005)

A Fuzzy Logic Model for Software Development Effort Estimation at Personal Level. - Cuauhtémoc López Martín; Cornelio Yáñez-Márquez; Agustin Gutierrez-Tornes (MICAI, 2006)

An Empirical Validation of the Relationship Between MRE and Effort on Small Programs. - Cuauhtémoc López Martín; Cornelio Yáñez-Márquez; Agustin Gutierrez-Tornes (Software Engineering Research and Practice, 2007)

Fuzzy Models for Software Development Effort Estimation of Small Programs: A Comparison Based Upon MMER as Well as Heteroscedasticity. - Cuauhtémoc López Martín; Cornelio Yáñez-Márquez; Agustin Gutierrez-Tornes (Software Engineering Research and Practice, 2007)

Adequacy Checking of Personal Software Development Effort Estimation Models Based upon Fuzzy Logic: A Replicated Experiment. - Cuauhtémoc López Martín; Cornelio Yáñez-Márquez; Agustin Gutierrez-Tornes; Edgardo Manuel Felipe Riverón (Computación y Sistemas, 2008)

Predictive accuracy comparison of fuzzy models for software development effort of small programs. - Cuauhtémoc López Martín; Cornelio Yáñez-Márquez; Agustin Gutierrez-Tornes (J. Syst. Softw., 2008)

Identification of Petri Net Models Based on an Asymptotic Approach. - Maria Elena Meda-Campaña; F. J. Lopez-Lopez; Cuauhtémoc López Martín; Arturo Chavoya-Pena (ISDA, 2009)

Relating Types of Lines of Code for Predicting the Software Development Effort of Small Programs Using a Fuzzy Model: Economizing Variables. - Cuauhtémoc López Martín; Ivica Kalichanin-Balich; Arturo Chavoya-Pena; Maria Elena Meda-Campaña (Software Engineering Research and Practice, 2009)

Software Development Productivity Prediction of Small Programs Using Fuzzy Logic. - Cuauhtémoc López Martín; Ivica Kalichanin-Balich; Maria Elena Meda-Campaña; Arturo Chavoya-Pena (ITNG, 2010)

3D Cell Pattern Generation in Artificial Development. - Arturo Chavoya; Irma R. Andalon-Garcia; Cuauhtémoc López Martín; Maria Elena Meda-Campaña (NICSO, 2010)

Applying a Feedforward Neural Network for Predicting Software Development Effort of Short-Scale Projects. - Ivica Kalichanin-Balich; Cuauhtémoc López Martín (SERA, 2010)

Software Development Effort Estimation Applying a Fuzzy Logic Model Involving Programming Language Experience. - Cuauhtémoc López Martín; Arturo Chavoya-Pena; Maria Elena Meda-Campaña (Software Engineering Research and Practice, 2010)

Use of evolved artificial regulatory networks to simulate 3D cell differentiation. - Arturo Chavoya; Irma R. Andalon-Garcia; Cuauhtémoc López Martín; Maria Elena Meda-Campaña (Biosyst., 2010)

Applying Genetic Programming for Estimating Software Development Effort of Short-scale Projects. - Arturo Chavoya; Cuauhtémoc López Martín; Maria Elena Meda-Campaña (ITNG, 2011)

Software Development Effort Estimation in Academic Environments Applying a General Regression Neural Network Involving Size and People Factors. - Cuauhtémoc López Martín; Arturo Chavoya; Maria Elena Meda-Campaña (MCPR, 2011)

A fuzzy logic model for predicting the development effort of short scale programs based upon two independent variables. - Cuauhtémoc López Martín (Appl. Soft Comput., 2011)

Applying a general regression neural network for predicting development effort of short-scale programs. - Cuauhtémoc López Martín (Neural Comput. Appl., 2011)

Finding the Minimal Gene Regulatory Function in the Presence of Undefined Transitional States Using a Genetic Algorithm. - Rocio Chavez-Alvarez; Arturo Chavoya; Cuauhtémoc López Martín (IPCAT, 2012)

Software development effort prediction of industrial projects applying a general regression neural network. - Cuauhtémoc López Martín; Claudia Isaza; Arturo Chavoya (Empir. Softw. Eng., 2012)

Applying Expert Judgment to Improve an Individual's Ability to Predict Software Development Effort. - Cuauhtémoc López Martín; Alain Abran (Int. J. Softw. Eng. Knowl. Eng., 2012)

Use of a Feedforward Neural Network for Predicting the Development Duration of Software Projects. - Cuauhtémoc López Martín; Arturo Chavoya; Maria Elena Meda-Campaña (ICMLA (2), 2013)

A machine learning technique for predicting the productivity of practitioners from individually developed software projects. - Cuauhtémoc López Martín; Arturo Chavoya; Maria Elena Meda-Campaña (SNPD, 2014)

A Fuzzy Logic Model for Predicting the Development Schedule of Software Projects. - Cuauhtémoc López Martín; Arturo Chavoya; Maria Elena Meda-Campaña (ITNG, 2015)

Predictive accuracy comparison between neural networks and statistical regression for development effort of software projects. - Cuauhtémoc López Martín (Appl. Soft Comput., 2015)

Neural networks for predicting the duration of new software projects. - Cuauhtémoc López Martín; Alain Abran (J. Syst. Softw., 2015)

Feedforward Neural Networks for Predicting the Duration of Maintained Software Projects. - Cuauhtémoc López Martín (ICMLA, 2016)

Metaheuristic optimization of multivariate adaptive regression splines for predicting the schedule of software projects. - Ángel Ferreira-Santiago; Cuauhtémoc López Martín; Cornelio Yáñez-Márquez (Neural Comput. Appl., 2016)

Support Vector Regression for Predicting the Enhancement Duration of Software Projects. - Cuauhtémoc López Martín; Shadi Banitaan; Andrés García-Floriano; Cornelio Yáñez-Márquez (ICMLA, 2017)

Support vector regression for predicting the productivity of higher education graduate students from individually developed software projects. - Cuauhtémoc López Martín; Rosa Leonor Ulloa-Cazarez; Andrés García-Floriano (IET Softw., 2017)

A training process for improving the quality of software projects developed by a practitioner. - Cuauhtémoc López Martín; Ali Bou Nassif; Alain Abran (J. Syst. Softw., 2017)

Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan; Cuauhtémoc López Martín (ICMLA, 2018)

Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. - Cuauhtémoc López Martín; Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (ICMLA, 2018)

Prediction of Online Students Performance by Means of Genetic Programming. - Rosa Leonor Ulloa-Cazarez; Cuauhtémoc López Martín; Alain Abran; Cornelio Yáñez-Márquez (Appl. Artif. Intell., 2018)

Support vector regression for predicting software enhancement effort. - Andrés García-Floriano; Cuauhtémoc López Martín; Cornelio Yáñez-Márquez; Alain Abran (Inf. Softw. Technol., 2018)

v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. - Cuauhtémoc López Martín; Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (CoRR, 2019)

Productivity Comparison among Software Projects. - Cuauhtémoc López Martín (CATA, 2020)

Stochastic gradient boosting for predicting the maintenance effort of software-intensive systems. - Sergio Cerón-Figueroa; Cuauhtémoc López Martín; Cornelio Yáñez-Márquez (IET Softw., 2020)

Transformed k-nearest neighborhood output distance minimization for predicting the defect density of software projects. - Cuauhtémoc López Martín; Yenny Villuendas-Rey; Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (J. Syst. Softw., 2020)

Effort prediction for the software project construction phase. - Cuauhtémoc López Martín (J. Softw. Evol. Process., 2021)

Empirical analysis on productivity prediction and locality for use case points method. - Mohammad Azzeh; Ali Bou Nassif; Cuauhtémoc López Martín (Softw. Qual. J., 2021)

Machine learning techniques for software testing effort prediction. - Cuauhtémoc López Martín (Softw. Qual. J., 2022)

Gradient Boosting Optimized Through Differential Evolution for Predicting the Testing Effort of Software Projects. - Ángel Juan Sánchez-García; Cuauhtémoc López Martín; Alain Abran (IEEE Access, 2023)