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Cuauhtémoc López Martín
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2020 – today
- 2023
- [j20]Ángel Juan Sánchez-García
, Cuauhtémoc López Martín
Gradient Boosting Optimized Through Differential Evolution for Predicting the Testing Effort of Software Projects. IEEE Access 11: 135235-135254 (2023) - 2022
- [j19]Cuauhtémoc López Martín
Machine learning techniques for software testing effort prediction. Softw. Qual. J. 30(1): 65-100 (2022) - 2021
- [j18]Cuauhtémoc López Martín
Effort prediction for the software project construction phase. J. Softw. Evol. Process. 33(7) (2021) - [j17]Mohammad Azzeh
Empirical analysis on productivity prediction and locality for use case points method. Softw. Qual. J. 29(2): 309-336 (2021) - [i4]Mohammad Azzeh, Ali Bou Nassif, Cuauhtémoc López Martín:
Empirical Analysis on Productivity Prediction and Locality for Use Case Points Method. CoRR abs/2102.05961 (2021) - 2020
- [j16]Sergio Cerón-Figueroa, Cuauhtémoc López Martín, Cornelio Yáñez-Márquez:
Stochastic gradient boosting for predicting the maintenance effort of software-intensive systems. IET Softw. 14(2): 82-87 (2020) - [j15]Cuauhtémoc López Martín
Transformed k-nearest neighborhood output distance minimization for predicting the defect density of software projects. J. Syst. Softw. 167: 110592 (2020) - [c21]Cuauhtémoc López Martín:
Productivity Comparison among Software Projects. CATA 2020: 277-286
2010 – 2019
- 2019
- [i3]Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan:
v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. CoRR abs/1901.03362 (2019) - 2018
- [j14]Rosa Leonor Ulloa-Cazarez
Prediction of Online Students Performance by Means of Genetic Programming. Appl. Artif. Intell. 32(9-10): 858-881 (2018) - [j13]Andrés García-Floriano
Support vector regression for predicting software enhancement effort. Inf. Softw. Technol. 97: 99-109 (2018) - [c20]Cuauhtémoc López Martín, Mohammad Azzeh
Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. ICMLA 2018: 1377-1382 - [c19]Mohammad Azzeh
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. ICMLA 2018: 1427-1431 - [i2]Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín:
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. CoRR abs/1812.06459 (2018) - 2017
- [j12]Cuauhtémoc López Martín, Rosa Leonor Ulloa-Cazarez
Support vector regression for predicting the productivity of higher education graduate students from individually developed software projects. IET Softw. 11(5): 265-270 (2017) - [j11]Cuauhtémoc López Martín, Ali Bou Nassif
A training process for improving the quality of software projects developed by a practitioner. J. Syst. Softw. 131: 98-111 (2017) - [c18]Cuauhtémoc López Martín, Shadi Banitaan, Andrés García-Floriano
Support Vector Regression for Predicting the Enhancement Duration of Software Projects. ICMLA 2017: 562-567 - [i1]Cuauhtémoc López Martín, Ali Bou Nassif, Alain Abran:
A training process for improving the quality of software projects developed by a practitioner. CoRR abs/1705.10093 (2017) - 2016
- [j10]Ángel Ferreira-Santiago
Metaheuristic optimization of multivariate adaptive regression splines for predicting the schedule of software projects. Neural Comput. Appl. 27(8): 2229-2240 (2016) - [c17]Cuauhtémoc López Martín:
Feedforward Neural Networks for Predicting the Duration of Maintained Software Projects. ICMLA 2016: 528-533 - 2015
- [j9]Cuauhtémoc López Martín:
Predictive accuracy comparison between neural networks and statistical regression for development effort of software projects. Appl. Soft Comput. 27: 434-449 (2015) - [j8]Cuauhtémoc López Martín, Alain Abran
Neural networks for predicting the duration of new software projects. J. Syst. Softw. 101: 127-135 (2015) - [c16]Cuauhtémoc López Martín, Arturo Chavoya
A Fuzzy Logic Model for Predicting the Development Schedule of Software Projects. ITNG 2015: 415-420 - 2014
- [c15]Cuauhtémoc López Martín, Arturo Chavoya
A machine learning technique for predicting the productivity of practitioners from individually developed software projects. SNPD 2014: 1-6 - 2013
- [c14]Cuauhtémoc López Martín, Arturo Chavoya
Use of a Feedforward Neural Network for Predicting the Development Duration of Software Projects. ICMLA (2) 2013: 156-159 - 2012
- [j7]Cuauhtémoc López Martín, Claudia Isaza
Software development effort prediction of industrial projects applying a general regression neural network. Empir. Softw. Eng. 17(6): 738-756 (2012) - [j6]Cuauhtémoc López Martín, Alain Abran
Applying Expert Judgment to Improve an Individual's Ability to Predict Software Development Effort. Int. J. Softw. Eng. Knowl. Eng. 22(4): 467-484 (2012) - [c13]Rocio Chavez-Alvarez, Arturo Chavoya
Finding the Minimal Gene Regulatory Function in the Presence of Undefined Transitional States Using a Genetic Algorithm. IPCAT 2012: 238-249 - 2011
- [j5]Cuauhtémoc López Martín:
A fuzzy logic model for predicting the development effort of short scale programs based upon two independent variables. Appl. Soft Comput. 11(1): 724-732 (2011) - [j4]Cuauhtémoc López Martín:
Applying a general regression neural network for predicting development effort of short-scale programs. Neural Comput. Appl. 20(3): 389-401 (2011) - [c12]Arturo Chavoya
Applying Genetic Programming for Estimating Software Development Effort of Short-scale Projects. ITNG 2011: 174-179 - [c11]Cuauhtémoc López Martín, Arturo Chavoya
Software Development Effort Estimation in Academic Environments Applying a General Regression Neural Network Involving Size and People Factors. MCPR 2011: 269-277 - 2010
- [j3]Arturo Chavoya
Use of evolved artificial regulatory networks to simulate 3D cell differentiation. Biosyst. 102(1): 41-48 (2010) - [c10]Cuauhtémoc López Martín, Ivica Kalichanin-Balich, Maria Elena Meda-Campaña
Software Development Productivity Prediction of Small Programs Using Fuzzy Logic. ITNG 2010: 1295-1297 - [c9]Arturo Chavoya
3D Cell Pattern Generation in Artificial Development. NICSO 2010: 127-139 - [c8]Ivica Kalichanin-Balich, Cuauhtémoc López Martín:
Applying a Feedforward Neural Network for Predicting Software Development Effort of Short-Scale Projects. SERA 2010: 269-275 - [c7]Cuauhtémoc López Martín, Arturo Chavoya-Pena, Maria Elena Meda-Campaña:
Software Development Effort Estimation Applying a Fuzzy Logic Model Involving Programming Language Experience. Software Engineering Research and Practice 2010: 432-438
2000 – 2009
- 2009
- [c6]Maria Elena Meda-Campaña
Identification of Petri Net Models Based on an Asymptotic Approach. ISDA 2009: 749-754 - [c5]Cuauhtémoc López Martín, Ivica Kalichanin-Balich, Arturo Chavoya-Pena, Maria Elena Meda-Campaña:
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 2009: 556-652 - 2008
- [j2]Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustin Gutierrez-Tornes, Edgardo Manuel Felipe Riverón:
Adequacy Checking of Personal Software Development Effort Estimation Models Based upon Fuzzy Logic: A Replicated Experiment. Computación y Sistemas 11(4) (2008) - [j1]Cuauhtémoc López Martín, Cornelio Yáñez-Márquez
Predictive accuracy comparison of fuzzy models for software development effort of small programs. J. Syst. Softw. 81(6): 949-960 (2008) - 2007
- [c4]Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustin Gutierrez-Tornes:
An Empirical Validation of the Relationship Between MRE and Effort on Small Programs. Software Engineering Research and Practice 2007: 364-370 - [c3]Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustin Gutierrez-Tornes:
Fuzzy Models for Software Development Effort Estimation of Small Programs: A Comparison Based Upon MMER as Well as Heteroscedasticity. Software Engineering Research and Practice 2007: 430-436 - 2006
- [c2]Cuauhtémoc López Martín, Cornelio Yáñez-Márquez, Agustin Gutierrez-Tornes:
A Fuzzy Logic Model for Software Development Effort Estimation at Personal Level. MICAI 2006: 122-133 - 2005
- [c1]Cuauhtémoc López Martín, Jérôme Leboeuf Pasquier, Cornelio Yáñez-Márquez
Software Development Effort Estimation Using Fuzzy Logic: A Case Study. ENC 2005: 113-120
Coauthor Index
aka: Arturo Chavoya
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