Preguntas Frecuentes

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Cuauhtémoc López Martín

Semblanza: 

1) Education

  • Ph. D. in Computer Science at Centro de Investigación en Computación, Instituto Politécnico Nacional, México (2007).
  • Master Degree in Information Systems at Universidad de Guadalajara (2000).
  • Bachelor Degree in Computer Engineering at Universidad Autónoma de Tlaxcala (1995)

 
2) Short research stays

  • University of Sharjah, United Arab Emirates, 2019 and 2022.
  • University of Detroit, Michigan, United States, 2017.
  • l'Université du Québec, Montreal, Québec, Canada, 2015.
  • Western University, London, Ontario, Canada, 2014.
  • Centro de Investigación en Matemáticas (CIMAT), México. 2012.
  • Universidad de Antioquia, Medellín, Colombia. 2010.

 
3) Professional experience

  • Secretaría de la Reforma Agraria, Subdirector of Computing Systems, México, D.F.
  • Instituto Nacional de Desarrollo,  Director of Computing Systems, México, D.F.
  • Procuraduría Agraria, Analyst of Information Systems, Tlaxcala, Tlaxcala, México.
  • Registro Agrario Nacional, Developer of Information Systems, Tlaxcala, Tlaxcala, México.
  • Financial Department of Tlaxcala Government, Developer of Information Systems, Tlaxcala, Tlaxcala, México.

 
 
4) Training and teaching experience
 

  • Centro Universitario de Ciencias Económico Administrativas (CUCEA), Universidad de Guadalajara, México.
  • Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM), Guadalajara, México.
  • Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI), Universidad de Guadalajara, México.
  • Centro de Investigación y de Estudios Avanzados (CINVESTAV- Guadalajara). Training for computer enterprises in PAFTI and PADTS Programs. México.
  • Universidad de Guayaquil, Ecuador.
  • Universidad del Valle de Atemajac (UNIVA) campus Guadalajara, Jalisco; campus La Piedad, Michoacán; campus León, Guanajuato, and campus Zamora, Michoacán. México.
  • Universidad Autónoma de Guadalajara, Guadalajara, Jalisco, México.

 
5) Awards
 

  • Associate Editor of the IEEE Latin America Transactions journal (ISSN: 1548-0992)
  • Member of the National System of Researchers () of the National Board of Science and Technology (Consejo Nacional de Ciencia y Tecnología, Conacyt). México.
  • Conacyt Evaluator of information technology projects to be funded for México Government.
  • Conacyt Evaluator of Quality Graduate Programs (Padrón Nacional de Posgrados de Calidad). México.
  • Evaluator of students for foreign studies to be funded for the Conacyt. México.
  • PRODEP Profile awarded by the Secretaría de Educación Pública (SEP), México.

 
6) Research lines
 

  • General topics: Software Engineering, Machine Learning, Statistics.
  • First specific topic: Models for predicting the size, effort, schedule, costs and defects of software projects. These models could be based on Statistics or computational intelligent techniques. 
  • Second specific topic: Software Engineering Education and Training by applying software development processes at individual level. These processes should improve the performance of practitioners.
  • Third specific topic: Prediction based on Statistics or machine learning models
  • Other research interests: Software quality, Software measurement, Software requirements, and personal software process statistical control

 
7) Reviewer of journals

  • Applied Sciences, MDPI (ISSN 2076-3417)
  • Applied Soft Computing, Elsevier (ISSN: 1568-4946)
  • Array, Elsevier (ISSN: 2590-0056)
  • Artificial Intelligence Review, Springer (ISSN: 1573-7462)
  • Behaviour & Information Technology, Taylor & Francis (ISSN: 0144-929X)
  • Central European Journal of Computer Science, Springer (ISSN: 1896-1533)
  • Cluster Computing, Springer (ISSN: 1573-7543)
  • Combustion Science and Technology, Taylor & Francis (ISSN: 0010-2202)
  • Computación y Sistemas, México (ISSN: 1405-5546)
  • Cybernetics and Systems, Taylor & Francis (ISSN: 0196-9722)
  • Ecological Informatics, Elsevier (ISSN: 1574-9541)
  • Engineering Applications of Artificial Intelligence, Elsevier (ISSN: 0952-1976)
  • Fuzzy Sets and Systems, Elsevier (ISSN: 0165-0114)
  • Healthcare, MDPI (ISSN 2227-9032)
  • IEEE ACCESS (ISSN: 2169-3536)
  • IEEE Computational Intelligence Magazine (ISSN: 1556-603X)
  • IEEE Latin America Transactions (ISSN: 1548-0992)
  • IEEE Software (ISSN: 0740-7459)
  • IET Software, Wiley (ISSN 1751-8814)
  • , MDPI (ISSN 2078-2489)
  • Information and Software Technology, Elsevier (ISSN: 0950-5849)
  • Innovations in Systems and Software Engineering, A NASA Journal, Springer (ISSN: 1614-5054)
  • International Journal of Information Technology & Decision Making, World Scientific (ISSN: 0219-6220)
  • International Journal Software Engineering and Knowledge Engineering, World Scientific (ISSN: 0218-1940)
  • Journal of Ambient Intelligence and Humanized Computing, Springer (ISSN: 1868-5145)
  • Journal of Building Engineering, Elsevier (ISSN: 2352-7102)
  • Journal of Intelligent Manufacturing, Springer (ISSN: 0956-5515)
  • Journal of King Saud University - Computer and Information Sciences, Elsevier (ISSN: 1319-1578)
  • Journal of Software: Evolution and Process, Wiley (ISSN: 2047-7481)
  • Journal of Systems and Software, Elsevier (ISSN: 0164-1212)
  • Mathematics, MDPI (ISSN: 2227-7390)
  • Multiple-Valued Logic and Soft Computing, Old City Publishing (ISSN: 1542-3980)
  • Neural Computing and Applications, Springer (ISSN: 0941-0643)
  • Neural Processing Letters, Springer (ISSN: 1573-773X)
  • Neurocomputing, Elsevier (ISSN: 0925-2312)
  • PLOS ONE (ISSN: 1932-6203)
  • Revista Facultad de Ingeniería Universidad de Antioquia, Colombia (ISSN: 0120-6230)
  • Soft Computing, Springer (ISSN: 1432-7643)
  • Software Quality Journal, Springer (ISSN 0963-9314)
  • Supercomputing, Springer (ISSN: 0920-8542)
  • The Scientific World Journal, Hindawi (ISSN: 1537-744X)

 
8) Supervised thesis

  1. Dirce Toledo Magaña, “Cross Training SSCT”, Licenciatura en Tecnologías de Información, Universidad de Guadalajara, Jalisco, México. 2022.
  2. David Sánchez Hurtado, "Predicción del riesgo de enfermedad cardiovascular aterosclerosis aplicando árboles de regresión M5P", Maestría en Tecnologías de la Información, Universidad de Guadalajara, Jalisco, México. 2020.
  3. Stephany Sepúlveda García, "Modelo de regresión estadístico para predecir el esfuerzo de mantenimiento de mejora en productos de software desarrollados en entornos organizacionales", Maestría en Tecnologías de la Información, Universidad de Guadalajara, Jalisco, México. 2019.
  4. Monserrat Romero Hernández, "Estimación basada en analogía aplicada a la duración del desarrollo de proyectos de software", Maestría en Ciencias de la Computación, Instituto Politécnico Nacional, México. 2017.
  5. Rosa Leonor Ulloa Cazarez, "Applying genetic Programming to Predict the Final Grade of Students from an Online Higher Education Course", Doctorado en Tecnologías de la Información, Universidad de Guadalajara, Jalisco, México. 2016.
  6. Alfredo David Guerrero Pérez, "Resources Management of Machine-to-Machine Devices in Restrictive Environments", Doctorado en Tecnologías de la Información, Universidad de Guadalajara, Jalisco, México. 2015.
  7. Ivica Kalichanin Balich, "Linear Support Vector Regression with Total Least Squares for Effort Estimation in Software Projects", Doctorado en Tecnologías de la Información, Universidad de Guadalajara, Jalisco, México. 2015.
  8. Noel García Díaz, "A Multilayer Adaptive Neuro-Fuzzy Inference System for Estimating the Development Effort of Software Projects", Doctorado en Tecnologías de la Información, Universidad de Guadalajara, Jalisco, México. 2014.
  9. Alejandra María Alcalá Gradilla, "Sistema de análisis crediticio del programa de crédito automotriz en arrendamiento", Maestría en Tecnologías de la Información, Universidad de Guadalajara, Jalisco, México. 2013.
  10. Jairo Salazar Vázquez, "Algoritmo A* basado en lógica difusa para encontrar la ruta más corta en un sistema inteligente de trasporte", Licenciatura en Sistemas de Información, Universidad de Guadalajara, Jalisco, México. 2012.
  11. Paulo Antonio Díaz Rodríguez, "Sistema para el Monitoreo de Servidores en Proceso de Pruebas", Maestría en Tecnologías de la Información, Universidad de Guadalajara, Jalisco, México. 2011.

 
9) Publications
a) Universal access to knowledge:

b) Cites:

c) Journals

  1. López-Martín Cuauhtémoc (2022). Machine learning techniques for software testing effort prediction, Software Quality Journal, Springer (ISSN 0963-9314), Vol. 30, pages 65-100. DOI: 10.1007/s11219-020-09545-8
  2. López-Martín Cuauhtémoc (2021). Effort prediction for the software project construction phase, Journal of Software: Evolution and Process, Wiley, ISSN: 2047-7481, Vol. 33, issue 7, Article e2365, pages 1-24. DOI: 10.1002/SMR.2365
  3. Azzeh Mohammad, Bou-Nassif Ali, López-Martín Cuauhtémoc (2021), Empirical Analysis on Productivity Prediction and Locality for Use Case Points Method, Software Quality Journal, Springer (ISSN 0963-9314), Vol. 29, pages 309-336. DOI: 10.1007/s11219-021-09547-0
  4. López-Martín Cuauhtémoc, Villuendas-Rey Yenny, Azzeh Mohammad, Bou-Nassif Ali, Banitaan Shadi (2020), Transformed k-nearest neighborhood output distance minimization for predicting the defect density of software projects, Journal of Systems and Software, Elsevier (ISSN: 0164-1212), Vol. 167, Article 110592. DOI: 10.1016/j.jss.2020.110592
  5. Ventura-Molina Elías, López-Martín Cuauhtémoc, López-Yáñez Itzamá, Yáñez-Márquez Cornelio (2020), A Novel Data Analytics Method for Predicting the Delivery Speed of Software Enhancement Projects, Mathematics, MDPI (ISSN: 2227-7390), Vol. 8, issue 11, Article 2002. DOI: 10.3390/math8112002
  6. Cerón-Figueroa Sergio, López-Martín Cuauhtémoc, Yáñez-Márquez Cornelio (2020). Stochastic gradient boosting for predicting the maintenance effort of software-intensive systems, IET Software  (ISSN: 1751-8814), Vol. 14, issue 2, pages 82 – 87. DOI: 10.1049/iet-sen.2018.5332
  7. Alanis-Tamez Mariana Dayanara, López-Martín Cuauhtémoc, Villuendas-Rey Yenny (2020). Particle Swarm Optimization for predicting the development effort of software projects, Mathematics, MDPI (ISSN: 2227-7390), Vol. 8, issue 10, Article 1819. DOI: 10.3390/math8101819
  8. García-Floriano Andrés, López-Martín Cuauhtémoc, Yáñez-Márquez Cornelio, Abran Alain (2018). Support Vector Regression for Predicting Software Enhancement Effort, Information and Software Technology, Elsevier (ISSN: 0950-5849), Vol. 97, pages 99-109. DOI: 10.1016/j.infsof.2018.01.003
  9. Ulloa-Cazarez Rosa Leonor, López-Martín Cuauhtémoc, Abran Alain, Yáñez-Márquez Cornelio (2018), Prediction of online students performance by means of genetic programming, Applied Artificial Intelligence, Taylor & Francis (ISSN: 0883-9514), Vol. 32, issue: 9-10, pages 858-881.DOI: 10.1080/08839514.2018.1508839
  10. Ortega Ricardo, Chavoya Arturo, López-Martín Cuauhtémoc, Delaye Luis(2018). SARELI: Sequence Alignment by Radial Evaluation of Local Interactions, Current Bioinformatics, Bentham Science (ISSN: 1574-8936), Vol. 13, issue 3, pages 290-298. DOI: 10.2174/1574893613666180130143055
  11. Ulloa-Cazarez Rosa Leonor, López-Martín Cuauhtémoc (2018), Neural networks for predicting student performance in online education, IEEE Latin America Transactions (ISSN: 1548-0992), Vol. 16, issue 7, pages 2053-2060. DOI: 10.1109/TLA.2018.8447376
  12. López-Martín Cuauhtémoc, Ulloa-Cazarez Rosa Leonor, García-Floriano Andrés (2017). Support Vector Regression for Predicting the Productivity of Higher Education Graduate Students from Individually Developed Software Projects, IET Software (ISSN: 1751-8814), Vol. 11, issue 5, pages 265 –270. DOI: 10.1049/iet-sen.2016.0304
  13. López-Martín Cuauhtémoc, Ali Bou Nassif, Abran Alain (2017). A training process for improving the quality of software projects developed by a practitioner, Journal of Systems and Software, Elsevier (ISSN: 0164-1212), Vol. 131, pages 98-111. DOI: 10.1016/j.jss.2017.05.050
  14. Ferreira-Santiago Ángel, López-Martín Cuauhtémoc, Yáñez-Márquez Cornelio (2016) Metaheuristic Optimization of Multivariate Adaptive Regression Splines for Predicting the Schedule of Software Projects, Neural Computing and Applications, Springer-Verlag (ISSN: 0941-0643), Vol. 27, issue 8, pages 2229–2240. DOI: 10.1007/s00521-015-2003-z
  15. López-Martín Cuauhtémoc, Kalichanin-Balich Ivica, Ulloa-Cazarez Rosa Leonor, García-Díaz Noel (2016), A Radial Basis Function Neural Network for predicting the effort of software projects individually developed in Laboratory Learning Environments, International Journal of Engineering Education (IJEE), Tempus Publications (ISSN: 0949-149X), Vol. 32, issue 2(B), pages 982–994. https://www.ijee.ie/contents/c320216B.html
  16. López-Martín Cuauhtémoc, Abran Alain (2015), Neural Networks for Predicting the Duration of New Software Projects, Journal of Systems and Software, Elsevier (ISSN: 0164-1212), Vol. 101, pages 127-135. DOI: 10.1016/j.jss.2014.12.002
  17. López-Martín Cuauhtémoc (2015), Predictive Accuracy Comparison between Neural Networks and Statistical Regression for Development Effort of Software Projects, Applied Soft Computing, Elsevier (ISSN: 1568-4946), Vol. 27, pages 434-449. DOI: 10.1016/j.asoc.2014.10.033
  18. López-Martín Cuauhtémoc, Isaza Claudia, Chavoya Arturo (2012). Software development effort prediction of industrial projects applying a general regression neural network. Empirical Software Engineering, Springer-Verlag (ISSN: 1382-3256), Vol. 17, issue 6, pages 738-756.  DOI: 10.1007/s10664-011-9192-6
  19. Chavoya Arturo, López-Martín Cuauhtémoc, Andalón Rebeca, Meda Maria Elena (2012), Genetic programming as alternative for predicting development effort of individual software projects, PLOS ONE (ISSN: 1932-6203), Vol. 7, issue 11, Article e50531.DOI: 10.1371/journal.pone.0050531
  20. López-Martín Cuauhtémoc, López-Yáñez Itzamá, Yáñez-Márquez Cornelio (2012). Application of Gamma Classifier to Development Effort Prediction of Software Projects. Applied Mathematics & Information Sciences (AMIS), Natural Sciences Publishing Corporation (ISSN: 1935-0090), Vol. 6, issue 3, pages 411-418. http://naturalspublishing.com/ArtcIss.asp?ArtcID=718
  21. López-Martín Cuauhtémoc, Abran Alain (2012). Applying Expert Judgment to Improve an Individual's Ability to Predict Software Development Effort. International Journal of Software Engineering and Knowledge Engineering (IJSEKE), World Scientific (ISSN: 0218-1940), Vol. 22, issue 4, pages 467-483. DOI: 10.1142/S0218194012500118
  22. López-Martín Cuauhtémoc (2011), Applying a general regression neural network for predicting development effort of short-scale programs. Neural Computing and Applications, Springer-Verlag (ISSN: 0941-0643), Vol. 20, issue 3, pages 389-401. DOI: 10.1007/s00521-010-0405-5
  23. López-Martín Cuauhtémoc (2011), A Fuzzy Logic Model for Predicting the Development Effort of Short Scale Programs Based Upon two Independent Variables, Applied Soft Computing, Elsevier, (ISSN: 1568-4946), Vol. 11, issue 1, pages 724-732. DOI: 10.1016/j.asoc.2009.12.034
  24. Chavoya-Peña Arturo, Andalon-Garcia Irma Rebeca, López-Martín Cuauhtémoc, Meda-Campaña Maria Elena (2010), Use of Evolved Artificial Regulatory Networks to Simulate 3D Cell Differentiation, BioSystems, Elsevier (ISSN: 0303-2647), Vol. 102, issue 1, pages 41-48. DOI: 10.1016/j.biosystems.2010.07.011
  25. López-Martín Cuauhtémoc, Yáñez-Márquez Cornelio, Gutiérrez-Tornés Agustín (2008), Predictive Accuracy Comparison of Fuzzy Models for Software Development Effort of Small Programs, Journal of Systems and Software, Elsevier (ISSN: 0164-1212), Vol. 81, issue 6, pages 949-960. DOI: 10.1016/j.jss.2007.08.027
  26. López-Martín Cuauhtémoc, Yáñez-Márquez Cornelio, Gutiérrez-Tornés Agustín, Felipe-Riverón, Eduardo Manuel (2008), Adequacy Checking of Personal Software Development Effort Estimation Models Based upon Fuzzy Logic: A Replicated Experiment, Computación y Sistemas  (ISSN: 1405-5546), Vol. 11, No. 4. http://cys.cic.ipn.mx/ojs/index.php/CyS/article/view/1179

 
 
d) Books:  
 

  • López-Martín Cuauhtémoc, Yánez-Marquez Cornelio, López-Leyva Luis Octavio (2008). Estadística Aplicada a la Ingeniería del Software, Instituto Politécnico Nacional. ISBN: 978-970-94696-7-7. D. R. 03-2007-050209194200-01.
  • López-Martín Cuauhtémoc, Yánez-Marquez Cornelio, López-Leyva Luis Octavio (2007). Verificación y Validación de modelos de estimación del esfuerzo de software. Instituto Politécnico Nacional. ISBN: 978-970-94696-1-5.  D. R. 03-2007-050209194200-01.

 
e) International Conferences:
 

  1. López-Martín Cuauhtémoc, Maria Elena Meda-Campaña (2022), Measuring the Effect on Prediction Accuracy When Data Transformation is Overlooked by Predicting the Development Effort of Software Projects, IEEE 8th International Conference on Data and Software Engineering (ICoDSE), Bali, Indonesia. DOI: 10.1109/ICoDSE56892.2022.9971876
  2. López-Martín Cuauhtémoc (2020) Productivity Comparison among Software Projects, 35th International Conference on Computers and Their Applications, Vol. 69, pages 277- 286. DOI: 10.29007/s6kd
  3. López-Martín Cuauhtémoc (2019) Software Defect Density Analysis, 28th International Conference on Software Engineering and Data Engineering, Vol. 64, pages 139-147. DOI: 10.29007/rh9l
  4. Lopez-Martin Cuauhtémoc, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan (2018), ʋ-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects, 17th IEEE International Conference On Machine Learning And Applications (ICMLA 2018, Orlando, Florida, EE.UU. DOI: 10.1109/ICMLA.2018.00224
  5. Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Lopez-Martin Cuauhtemoc (2018), Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points, 17th IEEE International Conference On Machine Learning And Applications (ICMLA 2018), Orlando, Florida, EE.UU. DOI: 10.1109/ICMLA.2018.00232
  6. Lopez-Martin Cuauhtemoc, Shadi Banitaan, Andrés García-Floriano, Cornelio Yáñez-Márquez (2017), Support Vector Regression for Predicting the Enhancement Duration of Software Projects, 16th IEEE International Conference On Machine Learning And Applications (ICMLA 2017), Cancun, México, DOI: 10.1109/ICMLA.2017.0-101
  7. Lopez-Martin Cuauhtemoc (2017). Statistical Analysis of Effort, Duration and Quality Data for Software Enhancement Projects, 26th International Conference on Software Engineering and Data Engineering (SEDE 2017). San Diego California, EE.UU
  8. Lopez-Martin Cuauhtemoc (2016). Feedforward Neural Networks for Predicting the Duration of Maintained Software Projects, 15th IEEE International Conference on Machine Learning and Applications (ICMLA 2016), Anaheim, California, EE. UU. DOI: 10.1109/ICMLA.2106.98
  9. Lopez-Martin Cuauhtemoc, Chavoya-Peña Arturo, & Meda-Campaña Maria Elena (2015). Selecting Statistically Significant Independent Variables for Component-based Software Development Effort Prediction, 24th International Conference on Software Engineering and Data Engineering (SEDE 2015), San Diego California, EE.UU.
  10. Lopez-Martin Cuauhtemoc, Chavoya-Peña Arturo, & Meda-Campaña Maria Elena (2015). A Fuzzy Logic Model for Predicting the Development Schedule of Software Projects, International Conference on Information Technology - New Generations (ITNG 2015), Las Vegas, Nevada, EE. UU. DOI: 10.1109/ITNG.2015.73
  11. Lopez-Martin Cuauhtemoc, Chavoya-Peña Arturo, & Meda-Campaña Maria Elena (2014). A machine learning technique for predicting the productivity of practitioners from individually developed software projects, 15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2014), Las Vegas, Nevada, EE. UU. DOI: 10.1109/SNPD.2014.6888690
  12. Lopez-Martin Cuauhtemoc, Chavoya-Peña Arturo, & Meda-Campaña Maria Elena (2013). Use of a Feedforward Neural Network for Predicting the Development Duration of Software Projects, 12th IEEE International Conference on Machine Learning and Applications (ICMLA 2013), Miami, Florida, EE. UU. DOI: 10.1109/ICMLA.2013.182
  13. Lopez-Martin Cuauhtemoc, Chavoya-Peña Arturo, & Meda-Campaña Maria Elena (2013). Software Development Productivity Prediction of Individual Projects Applying a Neural Network. Proceedings of the International Multi-Conference on Engineering and Technological Innovation (IMETI), International Institute of Informatics and Systemics. Miami, Florida, U.S.A.
  14. Ulloa-Cazarez Rosa Leonor, Lopez-Martin Cuauhtemoc (2013). Fuzzy Logic Model for Predicting the Number of Online Courses Needed from Number of Students Enrolled in Higher Education. Proceedings of The 9th International Conference on Frontiers in Education: Computer Science and Computer Engineering. Worldcomp’13, The 2013 World Congress in Computer Science, Computer Engineering, & Applied Computing, Nevada, USA, CSREA Press.
  15. Garcia-Diaz Noel, Lopez-Martin Cuauhtemoc, Chavoya-Peña Arturo(2013). A comparative study of two fuzzy logic models for software development effort estimation. Proceedings of 2013 Iberoamerican Conference on Electronics Engineering and Computer Science (CIIECC), Procedia Technology, Elsevier. April 24-26, San Luis Potosí, México. DOI: 10.1016/j.protcy.2013.04.038
  16. Lopez-Martin Cuauhtemoc, Chavoya-Peña Arturo, & Meda-Campaña Maria Elena (2012). Software Size Estimation of Individual Projects. Proceedings of the 2012 Software Engineering and Applications (SEA 2012), Nevada, USA. DOI: 10.2316/P.2012.790-014
  17. Lopez-Martin Cuauhtemoc, Chavoya-Peña Arturo, & Meda-Campaña Maria Elena (2012). Comparison of Software Development Productivity Based on Object-Oriented Programming Languages. Proceedings of the 2012 International Conference on Software Engineering Research & Practice – SERP 2012, Worldcomp’12, The 2012 World Congress in Computer Science, Computer Engineering, & Applied Computing, Las Vegas, Nevada, USA, CSREA Press.
  18. Lopez-Martin Cuauhtemoc, Chavoya-Peña Arturo, & Meda-Campaña Maria Elena (2011). Selection of Software Estimation Models Based on Analysis of Randomization and Spread Parameters in Neural Networks. Proceedings of the 2011 International Conference on Software Engineering Research & Practice – SERP 2011, Worldcomp’11, The 2010 World Congress in Computer Science, Computer Engineering, & Applied Computing, Las Vegas, Nevada, USA, CSREA Press.
  19. Lopez-Martin Cuauhtemoc, Chavoya-Peña Arturo, & Meda-Campaña Maria Elena (2011). Software Development Effort Estimation in Academic Environments Applying a General Regression Neural Network Involving Size and People Factors, 3rd Mexican Conference on Pattern Recognition (MCPR2011), June 28-July 2, 2011, Lecture Notes in Computer Science, LNCS 6718, Springer-Verlag Berlin Heidelberg, pp. 269-277. DOI: 10.1007/978-3-642-21587-2_29
  20. Chavoya-Peña Arturo, López-Martín Cuauhtémoc, Meda-Campaña Maria Elena (2011). Applying Genetic Programming for Estimating Software Development Effort of Short-scale Projects. Proceedings of the 2011 International Conference on Information Technology - New Generations (ITNG), IEEE Computer Society Press. April 11-13, 2011, Nevada, U.S.A. DOI: 10.1109/ITNG.2011.37
  21. Lopez-Martin Cuauhtemoc, Chavoya-Peña Arturo, & Meda-Campaña Maria Elena (2010). Software Development Effort Estimation Applying a Fuzzy Logic Model Involving Programming Language Experience. Proceedings of the 2010 International Conference on Software Engineering Research & Practice – SERP 2010, Worldcomp’10, The 2010 World Congress in Computer Science, Computer Engineering, & Applied Computing, Las Vegas, Nevada, USA, CSREA Press.
  22. Kalichanin-Balich Ivica & Lopez-Martin Cuauhtemoc (2010). Applying a Feedforward Neural Network for Predicting Software Development Effort of Short-Scale Projects. Proceedings of the 2010 Software Engineering Research and Applications (SERA), Montreal, Canada. DOI: 10.1109/SERA.2010.41
  23. Lopez-Martin Cuauhtemoc, Kalichanin-Balich Ivica, Meda-Campaña Maria Elena & Chavoya-Peña Arturo (2010). Software Development Productivity Prediction of Small Programs Using Fuzzy Logic. Proceedings of the 2010 International Conference on Information Technology - New Generations (ITNG), Nevada, U.S.A. DOI: 10.1109/ITNG.2010.35
  24. Lopez-Martin Cuauhtemoc, Kalichanin-Balich Ivica, Chavoya-Peña Arturo, & Meda-Campaña Maria Elena (2009). Relating Types of Lines of Code for Predicting the Software Development Effort of Small Programs Using a Fuzzy Model: Economizing Variables. Proceedings of the 2009 International Conference on Software Engineering Research & Practice – SERP 2009, Worldcomp’09, The 2009 World Congress in Computer Science, Computer Engineering, & Applied Computing, July 13-16 2009, Las Vegas, Nevada, USA, Volume II, pp. 556-562, CSREA Press.
  25. López-Martín, Cuauhtémoc (2008). Quality Improvement Applying Design and Code Reviews for Developing Small Software. Proceedings of the International Multi-Conference on Engineering and Technological Innovation IMETI 2008. June-July 2008. Organized by International Institute of Informatics and Systemics. Florida, U.S.A.
  26. Leboeuf Pasquier J., Kalichanin Balich I., Carr D.W. & López-Martín Cuauhtémoc (2007). A Comparative Study of three Metaheuristics applied to the Traveling Salesman Problem. Mexican International Conference Artificial Intelligence (MICAI). DOI: 10.1109/MICAI.2007.14
  27. López-Martín, Cuauhtémoc, Yáñez-Márquez, C. & Gutiérrez-Tornés A. (2007). Fuzzy Models for Software Development Effort Estimation of Small Programs: A Comparison Based Upon MMER as well as Heteroscedasticity, 2007 International Conference on Software Engineering Research & Practice – SERP 2007, Las Vegas, Nevada, USA, Volume II, pp. 430-436, CSREA Press.
  28. López-Martín, Cuauhtémoc, Yáñez-Márquez, C. & Gutiérrez-Tornés A. (2007). An Empirical Validation of the Relationship between MRE and Effort on Small Programs, Proceedings. of the 2007 International Conference on Software Engineering Research & Practice – SERP 2007, Worldcomp’07, Las Vegas, Nevada, USA, CSREA Press.
  29. López-Martín Cuauhtémoc, Yáñez-Márquez Cornelio, Gutiérrez-Tornés Agustín (2006). A Fuzzy Logic Model for Software Development Effort Estimation at Personal Level, Lecture Notes in Computer Science, LNCS 4293, Springer (ISSN: 0302-9743), pages 122-133. DOI: 10.1007/11925231_12
  30. López-Martín, Cuauhtémoc, Yáñez-Márquez, C. & Gutiérrez-Tornés A. (2006). A Fuzzy Logic Model Based Upon Reused and New & Changed Code for Software Development Effort Estimation at Personal Level. IEEE 15th International Conference on Computing, CIC 2006. ISBN: 0-7695-2708-6, pp. 298-303. DOI: 10.1109/CIC.2006.5
  31. López-Martín, Cuauhtémoc, Yáñez-Márquez, C. & Gutiérrez-Tornés A. (2006). Fuzzy Logic Systems for Software Development Effort Estimation Based Upon Clustering of Programs Segmented by Personal Practices, IEEE Electronics, Robotics, and Automotive Mechanics Conference, CERMA 2006. DOI: 10.1109/CERMA.2006.114
  32. López-Martín, Cuauhtémoc, Leboeuf-Pasquier, J., Yáñez-Márquez, C. & Gutiérrez-Tornés, A. (2005). Software Development Effort Estimation Using Fuzzy Logic: A Case Study, IEEE Computer Society, Proceedings Sixth Mexican International Conference on Computer Science. DOI: 10.1109/ENC.2005.47

 
 
10) Committee Member of International Conferences

  • 2022 IEEE International Conference on Machine Learning and Applications (ICMLA), Special Session on Machine Learning for Predictive Models in Eng. Applications (MLPMEA), The Bahamas, Caribbean, December 12 – 15.
  • 2021 IEEE International Conference on Machine Learning and Applications (ICMLA), Special Session on Machine Learning for Predictive Models in Eng. Applications (MLPMEA), Pasadena, California, USA, December 13 – 16.
  • 2019 IEEE International Conference on Machine Learning and Applications (ICMLA), Special Session on Machine Learning for Predictive Models in Eng. Applications (MLPMEA), Boca Raton, Florida, USA, December 16 – 19.
  • 2018 IEEE International Conference on Machine Learning and Applications (ICMLA), Special Session on Machine Learning for Predictive Models in Eng. Applications (MLPMEA), Orlando, Florida, USA, December 17 – 20.
  • 2017 IEEE International Conference on Machine Learning and Applications (ICMLA), Special Session on Machine Learning for Predictive Models in Eng. Applications (MLPMEA), Cancun, México, December 18 – 21.
  • 2016 IEEE International Conference on Machine Learning and Applications (ICMLA), Special Session on Machine Learning for Predictive Models in Eng. Applications (MLPMEA), Anaheim, California, USA, December 18 – 20.
  • 2016 7th IEEE International Conference on Computer Science and Information Technology (CSIT 2016), Aman, Jordania, Julio 13 – 20.
  • 2016 International Conference on Computer Applications in Industry and Engineering (CAINE-2013), Denver, Colorado, USA, September 22-28.
  • 2015 International Conference on Machine Learning and Applications (ICMLA), Special Session Machine Learning for Predictive Models (MLPM), Miami, Florida, USA, December 9 – 11.
  • 2015 International Conference on Computer Applications in Industry and Engineering (CAINE-2013), San Diego, California, USA, October 12-14.
  • 2014 International Conference on Software Engineering Research, Management and Applications (SERA), Kitakyushu, Japan, August 31-September 4.
  • 2014 International C* Conference on Computer Science & Software Engineering, Montreal, Canada, August 4-6.
  • 2014 International Conference on Computer Science and Information Technology (CSIT), Amman, Jordan, March 26-27.
  • 2013 International Conference on Machine Learning and Applications (ICMLA), Special Session Machine Learning for Predictive Models (MLPM), Miami, Florida, USA, December 4 – 7.
  • 2013 International Conference on Computer Applications in Industry and Engineering (CAINE-2013), Los Angeles, California, USA, September 25–27.
  • 2013 International Conference on Communications and Information Technology (ICCIT 2013), Special Session Computational Intelligence Applications in Software Engineering (CIASE 2013), Beirut, Lebanon, June 19‐21.
  • 2012 International Conference on Software Engineering Research and Practice (SERP), Nevada, U.S.A. July 16 – 19.
  • 2012 Fifth International C* Conference on Computer Science & Software Engineering, Montreal, Canadá.
  • 2012 International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), Kyoto, Japan.
  • 2012 25th International Conference on Computer Applications in Industry and Engineering (ISCA 2012), New Orleans, Lousiana, U.S.A.
  • 2012 International Conference on Interaction Sciences: IT, Human and Digital Content, Jeju, South Korea.
  • 2011 North-East Asia Symposium on Nano, Information Technology and Reliability (NASNIT), Macao. IEEE Computer Society Press. October 24 – 26.
  • 2011 International Conference on New Trends in Information Science and Service Science (NISS), Macao. IEEE Computer Society Press. October 24 – 26.
  • 2011 International Conference on Networked Computing (INC), Gumi, Korea. IEEE Computer Society Press. September 26 - 28.
  • 2011 International Conference on Mobile IT Convergence (ICMIC), Gumi, Korea. IEEE Computer Society Press. September 26 – 28.
  • 2011 International Conference on Software Engineering Research, Management and Applications (SERA), Baltimore, U.S.A. Springer-Verlag. August 10 - 12.
  • 2011 International Conference on Software Engineering Research and Practice (SERP), Nevada, U.S.A. July 18 – 21.
  • 2011 International Conference on Computer Science & Software Engineering, Montreal, Quebec, Canada. June 27 - 29.
  • 2011 International Conference on Next Generation Information (ICNIT), Gyeongju, Korea. IEEE Computer Society Press. June 21–23.
  • 2011 Congreso Internacional de Sistemas computacionales y Electronica (CISCE), México, D.F. March 17 – 18.
  • 2010 International Conference on Computer and Information Science (ICIS), Kaminoyama, Japan. IEEE Computer Society Press. August 18 – 20.
  • 2010 International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE), Athens, Greece. Springer-Verlag. July 22 – 24.
  • 2010 International Conference on Software Engineering Research and Practice (SERP), Nevada, U.S.A.  July 12 – 15.
  • 2010 International Conference on Artificial Intelligence (ICAI), Nevada, U.S.A.  July 12 – 15.
  • 2010 International Symposium on Design and Research in Artificial Intelligence, Orlando, Florida, U.S.A. June 29 – July 2.
  • 2010 International Conference on Information Sciences and Interaction Sciences (ICIS), Chengdu, China. IEEE Computer Society Press. June 23 – 25.
  • 2010 International Conference on Software Engineering Research, Management and Applications (SERA), Montreal, Canada. Springer-Verlag. May 24 – 26.
  • 2010 International Conference on New Trends in Information Science and Service Science (NISS), Gyeongu, Korea. IEEE Computer Society Press. May 11 – 13.
  • 2009 International Conference on Computer Sciences and Convergence Information Technology (ICCIT), Seoul, Korea. IEEE Computer Society Press. November 24 – 26.
  • 2009 International Conference on Interaction Sciences, Information Technology, Culture and Human. IEEE Computer Society Press. November 24 – 26.
  • 2009 Mexican International Conference in Computer Science (ENC), Mexico. IEEE Computer Society Press. September 21 – 25.
  • 2009 International Conference on Software Engineering Research and Practice (SERP), Nevada, U.S.A.  July 13 – 16.
  • 2009 International Conference on Artificial Intelligence (ICAI), Nevada, U.S.A.  July 13 – 16.
  • 2011 North-East Asia Symposium on Nano, Information Technology and Reliability (NASNIT), Macao. IEEE Computer Society Press. October 24 – 26.
  • 2011 International Conference on New Trends in Information Science and Service Science (NISS), Macao. IEEE Computer Society Press. October 24 – 26.
  • 2011 International Conference on Networked Computing (INC), Gumi, Korea. IEEE Computer Society Press. September 26 - 28.
  • 2011 International Conference on Mobile IT Convergence (ICMIC), Gumi, Korea. IEEE Computer Society Press. September 26 – 28.
  • 2011 International Conference on Software Engineering Research, Management and Applications (SERA), Baltimore, U.S.A. Springer-Verlag. August 10 - 12.
  • 2011 International Conference on Software Engineering Research and Practice (SERP), Nevada, U.S.A. July 18 – 21.
  • 2011 International Conference on Computer Science & Software Engineering, Montreal, Quebec, Canada. June 27 - 29.
  • 2011 International Conference on Next Generation Information (ICNIT), Gyeongju, Korea. IEEE Computer Society Press. June 21–23.
  • 2011 Congreso Internacional de Sistemas computacionales y Electronica (CISCE), México, D.F. March 17 – 18.
  • 2010 International Conference on Computer and Information Science (ICIS), Kaminoyama, Japan. IEEE Computer Society Press. August 18 – 20.
  • 2010 International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE), Athens, Greece. Springer-Verlag. July 22 – 24.
  • 2010 International Conference on Software Engineering Research and Practice (SERP), Nevada, U.S.A.  July 12 – 15.
  • 2010 International Conference on Artificial Intelligence (ICAI), Nevada, U.S.A.  July 12 – 15.
  • 2010 International Symposium on Design and Research in Artificial Intelligence, Orlando, Florida, U.S.A. June 29 – July 2.
  • 2010 International Conference on Information Sciences and Interaction Sciences (ICIS), Chengdu, China. IEEE Computer Society Press. June 23 – 25.
  • 2010 International Conference on Software Engineering Research, Management and Applications (SERA), Montreal, Canada. Springer-Verlag. May 24 – 26.
  • 2010 International Conference on New Trends in Information Science and Service Science (NISS), Gyeongu, Korea. IEEE Computer Society Press. May 11 – 13.
  • 2009 International Conference on Computer Sciences and Convergence Information Technology (ICCIT), Seoul, Korea. IEEE Computer Society Press. November 24 – 26.
  • 2009 International Conference on Interaction Sciences, Information Technology, Culture and Human. IEEE Computer Society Press. November 24 – 26.
  • 2009 Mexican International Conference in Computer Science (ENC), Mexico. IEEE Computer Society Press. September 21 – 25.
  • 2009 International Conference on Software Engineering Research and Practice (SERP), Nevada, U.S.A.  July 13 – 16.
  • 2009 International Conference on Artificial Intelligence (ICAI), Nevada, U.S.A.  July 13 – 16
Correo electrónico: 
cuauhtemoc@cucea.udg.mx
Titulo Educativo: 
Dr.