Publicaciones

Artículos de Journal (JCR)

 

9. Sánchez-García, Á. J., González-Hernández, M. S., Cortés-Verdín, M. K., & Pérez-Arriaga, J. C. (2024). Software Estimation in the Design Stage with Statistical Models and Machine Learning: An Empirical Study. Mathematics12(7), 1058. https://doi.org/10.3390/math12071058.

8. Sánchez-García, Á. J., López-Martín, C., & Abran, A. (2023). Gradient Boosting Optimized Through Differential Evolution for Predicting the Testing Effort of Software Projects. IEEE Access11, 135235-135254. https://doi.org/10.1109/ACCESS.2023.3337809

7. Moguel-Sánchez, R.,  Martínez-Palacios, C. S., Ocharán-Hernández, J.O., Limón-Riaño, H. X., & Sánchez-García, Á. J. (2023). Bots in Software Development: A Systematic Literature Review and Thematic Analysis. Programming and Computer Software49, 712–734. https://doi.org/10.1134/S0361768823080145

6. Hernández-Molinos, M. J., Sánchez-García, Á. J., Barrientos-Martínez, R. E., Pérez-Arriaga, J. C., & Ocharán-Hernández, J. O. (2023). Software Defect Prediction with Bayesian Approaches. Mathematics, 11(11), 2524. https://doi.org/10.3390/math11112524.

5. Ríos-Figueroa, H. V., Sánchez-García, Á. J., Sosa-Jiménez, C. O. y Solís-González-Cosío, A. L. (2022). Use of Spherical and Cartesian Features for Learning and Recognition of the Static Mexican Sign Language Alphabet. Mathematics, 10(16), 2904. https://doi.org/10.3390/math10162904.

4. Somohano-Murrieta, J. C. B., Ocharán-Hernández, J. O., Sánchez-García, Á. J., Limón, X., & Arenas-Valdés, M. Á. (2021). Improving the Analytic Hierarchy Process for Requirements Prioritization Using Evolutionary Computing. Programming and Computer Software, 47, 746-756. https://doi.org/10.1134/s0361768821080235.

3. Pérez-Verdejo, J. M., Sánchez-García, Á. J., Ocharán-Hernández, J. O., Mezura-Montes, E., & Cortés-Verdín, M. K. (2021). Requirements and GitHub Issues: An Automated Approach for Quality Requirements Classification. Programming and Computer Software, 47, 704-721. https://doi.org/10.1134/S0361768821080193.

2. Tello-Rodríguez, M., Ocharán-Hernández, J.O., Pérez-Arriaga, J. C., Limón-Riaño H.X., & Sánchez-García, Á.J. (2020). A Design Guide for Usable Web APIs. Programming and Computer Software, 46, 584-593. https://doi.org/10.1134/S0361768820080241.

1. Sánchez-García, Á. J., Ríos-Figueroa, H. V., Garnier, H., Quintana-Capia, G., Rechy-Ramírez, E. J., & Marín-Hernández, A. (2018). Predicting Collisions: Time-to-Contact Forecasting Based on Probabilistic Segmentation and System Identification. Advanced Robotics32(8), 426-442. https://doi.org/10.1080/01691864.2018.1455604.

 

Artículos de revista CONAHCyT

 

2. Sánchez-García, Á. J., Loaiza-Meseguer, L., Ocharán-Hernández, J. O., & Pérez-Arriaga, J. C. (2023). Genetic Programming in Software Engineering: A Systematic Literature Review. International Journal of Combinatorial Optimization Problems and Informatics14(3), 61–70. https://doi.org/10.61467/2007.1558.2023.v14i3.408.

1. Sánchez-García, Á. J., Delgado-Santiago, A., Quiroz-Castellanos, M., Limón-Riaño, H. X., & Barrientos-Martínez, R. E. (2023). Non-bio-inspired Metaheuristics in Software Testing: A Systematic Literature Review. International Journal of Combinatorial Optimization Problems and Informatics14(3), 91–102. https://doi.org/10.61467/2007.1558.2023.v14i3.409.

 

Artículos de revista

 

20. Calderón-Blas, J. A., Cerdán, M. A., Sánchez-García, Á. J., & Domínguez-Isidro, S. (2023). Inteligencia Artificial en Sistemas de Recomendación Médica: Una Revisión Sistemática de la Literatura. ReCIBE, Revista electrónica de Computación, Informática, Biomédica y Electrónica, 12(2), C3–20. Enlace.

19. Pérez-Estudillo, R., Pérez-Arriaga, J. C., Contreras-Vega, G., & Sánchez-García, Á. J. (2023). Enseñanza de programación para niños y jóvenes con discapacidad visual: Mapeo sistemático de la literatura. ReCIBE, Revista electrónica de Computación, Informática, Biomédica y Electrónica, 12(2), C15–15. Enlace.

18. Loaiza-Meseguer, L., Sánchez-García, Á. J., Ocharán-Hernández, J. O. (2022). Genetic Programming in Software Engineering. Research in Computing Science151(12), 17–26. Enlace.

17. Delgado-Santiago, A., Sánchez-García, Á. J., & Quiroz-Castellanos, M. (2022). Non-bioinspired Metaheuristics in Software Testing. Research in Computing Science151(12), 57–65. Enlace.

16. López-Luján, B. A., Sánchez-García, Á. J., & Cortés-Verdín, M. K. (2021). Artificial Intelligence and Component-Based Software Engineering: A Systematic Mapping Study. Research in Computing Science, 150(11), 127–136. Enlace.

15. Hernández-Suárez, J.C., Sánchez-García, Á. J., & Alonso-Ramírez, O. (2021). Features Used to Classify UML Diagrams from Images: a Systematic Literature Review. Research in Computing Science, 150(11), 197–205. Enlace.

14. Acosta-Domínguez, P., Sánchez-García, A. J., & Sosa-Jiménez, C. O. (2021). Optimization of Combinatorial Software Testing: A Systematic Literature Review. Research in Computing Science, 150(11), 43–52. Enlace.

13. Sánchez-García, J. A, Argüello-Ortiz, Á. F., & Sánchez-García, Á. J. (2020). Análisis espacial para interpretar la relación entre economía y territorio en Xalapa Veracruz a través del geoprocesamiento de autocorrelación espacial índice de Moran como diseño metodológico en la formación del arquitecto. Diseño, arte y arquitectura, 8, 73–98. https://doi.org/10.33324/daya.v1i8.279.

12. Robles-Aguilar, A., Ocharán-Hernández, J. O., & Sánchez-García, Á. J. (2020). A Systematic Mapping Study of Artificial Intelligence in Software Requirements. Research in Computing Science, 149(11), 179–188. Enlace.

11. San Gabriel, J.G., Sánchez-García, Á. J., & Cortés-Verdín, K. (2020). Cómputo bioinspirado en la prueba de software: Una revisión sistemática de la literatura. Research in Computing Science, 149(11), 125–134. Enlace.

10. Pérez-Verdejo, J. M., Mezura-Montes, E., Sánchez-García, Á. J., & Ocharán-Hernández, J. O. (2020). Calibración de hiperparámetros para la clasificación de requisitos de software mediante evolución diferencial. Research in Computing Science, 149(8), 241–251. Enlace.

9. Pérez-Verdejo, J. M., Sánchez-García, Á. J., & Ocharán-Hernández, J. O. (2020). Generalización de requisitos de software de dominio específico para clasificación de texto. Research in Computing Science, 149(8), 145–155. Enlace.

8. Robles-Aguilar, A., Sánchez-García, Á. J., & Ocharán-Hernández, J. O. (2020). Inteligencia artificial en la prueba de software: Una revisión sistemática de la literatura. Research in Computing Science, 149(8), 109–121. Enlace.

7. Limón, X., Guerra-Hernández, A., Sánchez-García, Á. J., Arriaga, J. C. P., & Herrera, J. L. L. (2018). Hacia transacciones distribuidas coordinadas por agentes para la arquitectura de microservicios. Research in Computing Science, 147(8), 39–53. https://doi.org/10.13053/rcs-147-8-3.

6. Hernández, B. O., Sánchez-García, Á. J., Alfonso, C. A. D., Ocharán-Hernández, J. O., Ortiz, E. M., & Ríos-Figueroa, H. V. (2018). Desarrollo de aplicación para el conteo automático de murciélagos en cuevas basado en visión por computadora. Research in Computing Science, 147(7), 11–22. https://doi.org/10.13053/rcs-147-7-1.

5. Sánchez-García, Á. J., Ríos-Figueroa, H. V., Contreras-Vega, G., & Pérez-Arriaga, J. C. (2015). Modificación al algoritmo de Hooke-Jeeves para búsqueda local en variantes de evolución diferencial para resolver problemas de optimización con restricciones. Research in Computing Science, 94, 9–21. https://doi.org/10.13053/rcs-94-1-1.

4. Sánchez-García, Á. J., Ríos-Figueroa, H. V., Velasco-Vázquez, M. L., Contreras-Vega, G., & Marín-Hernández, A. (2014). Motion Prediction of Regions Through the Statistical Temporal Analysis Using an Autoregressive Moving Average (ARMA) Model. Research in Computing Science, 77, 9–20. https://doi.org/10.13053/rcs-77-1-1.

3. Sánchez-García, Á. J., & Rios-Figueroa, H. V. (2013). Segmentación de objetos en movimiento por flujo óptico y color sin información a priori de la escena. Research in Computing Science, 62, 151–160.

2. Alonso-Ramírez, Ó., Limón-Riaño, H. X., Sánchez-García, Á. J., Zamudio-Reyes, R., & Acosta-Mesa, H. G. (2012). La robótica pedagógica como herramienta didáctica en tópicos de Inteligencia Artificial. Caso de estudio: Aprendizaje por refuerzo. Advances in Intelligent and Information Technologies, 60, 1–10.

1. Sánchez-García, Á. J. & Ríos-Figueroa, H. V. (2012). Variant of Huffman Coding and Decoding Using Words Frequencies to Improve the Compression Ratio. Research in Computing Science, 60, 41–45.

 

Artículos de congreso

 

37. Fuentes-De Jesús, J. A., Sánchez-García, Á. J., & Alonso-Ramírez, Ó. (2023). Detection of Anomalous Behavior in Surveillance Cameras: A Systematic Literature Review. In 2023 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE). Por publicar.

36. Payón-Aguilar, F., Sánchez-García, Á. J., Domínguez-Isidro, S., Pérez-Arriaga, J. C., & Hernández-González, L. A. (2023). Code Summaritzation Tools Based on Artificial Intelligence: A Systematic Literature Review. In 2023 the International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE). Por publicar.

35. Camarillo-Villa, J. D., Limón-Riaño, H. X., Cortés-Verdín, M. K., & Sánchez-García, Á. J. (2023). Functional Programming Oriented Software Design: A Systematic Literature Review. In 2023 11th International Conference in Software Engineering Research and Innovation (CONISOFT). Por publicar.

34. Olvera-Villeda, D. J., Sánchez-García, Á. J., Limón-Riaño, H. X., & Domínguez-Isidro, S. (2023). Class Balancing Approaches in Dataset for Software Defect Prediction: A Systematic Literature Review. In 2023 11th International Conference in Software Engineering Research and Innovation (CONISOFT). Por publicar.

35. Pale-Parra, D., Pérez-Salazar, C., Sánchez-García, Á. J., & Ocharán-Hernández, J. O. (2023). Web Systems for the Development of Computational Thinking in Software Engineering Students. In 2023 11th International Conference in Software Engineering Research and Innovation (CONISOFT). Por publicar.

34. Olivares-Galindo, J. A., Sánchez-García, Á. J., Barrientos-Martínez, R. E., & Ocharán-Hernández, J. O. (2023). Ensemble Classifiers in Software Defect Prediction: A Systematic Literature Review. In 2023 11th International Conference in Software Engineering Research and Innovation (CONISOFT). Por publicar.

33. Arredondo-Reyes, V. M., Domínguez-Isidro, S., Ocharán-Hernández, J. O., & Sánchez-García, Á. J. (2023). Benefits and Challenges of the Behavior-Driven Development: A Systematic Riterature Review. In 2023 11th International Conference in Software Engineering Research and Innovation (CONISOFT). Por publicar.

31. Tablada-Domínguez, A., Muñoz, M., Ocharán-Hernández, J. O.  &  Sánchez-García, Á. J. Machine Learning-Based Software Development challenges focusing on using best practices of Software Engineering Standards. In Encuentro Nacional de Computación 2023 (ENC).  Por publicar.

30. Calderón-Blas, J. A., Cerdán, M. A., Sánchez-García, Á. J., & Domínguez-Isidro, S. (2023). Medical Recommender Systems: A Systematic Literature Review. In Encuentro Nacional de Computación 2023 (ENC) (pp. 1–8). https://doi.org/10.1109/ENC60556.2023.10508695

29. Fajardo-Sondón, L. R., Sánchez-García, Á. J., Cortés-Verdín, M. K., & Limón-Riaño, H. X. (2022). Applications of Monte-Carlo Tree Search in Software Engineering. In 2022 9th International Conference on Mechatronics, Electronics and Automation Engineering (ICMEAE) (pp. 145150). https://doi.org/10.1109/ICMEAE58636.2022.00032

28. Colorado-Fernández, R., Sánchez-García, Á. J., Mezura-Montes, E., & Ocharán-Hernández, J. O. (2022). Bioinspired Algorithms in Software Testing: A Systematic Literature Review. In 2022 9th International Conference on Mechatronics, Electronics and Automation Engineering (ICMEAE) (pp. 151157). https://doi.org/10.1109/ICMEAE58636.2022.00033

27. Moguel-Sánchez, R., Martínez-Palacios, C. S., Ocharán-Hernández, J. O., Limón-Riaño, X., & Sánchez-García, Á. J. (2022). Bots and their Uses in Software Development: A Systematic Mapping Study. In 2022 10th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 140–149). IEEE. https://doi.org/10.1109/CONISOFT55708.2022.00027

26. Luna-Herrera, Y. A., Pérez-Arriaga, J. C., Ocharán-Hernández, J. O., & Sanchéz-García, Á. J. (2022). Comprehension of Computer Programs Through Reverse Engineering Approaches and Techniques: A Systematic Mapping Study. In New Perspectives in Software Engineering: Proceedings of the 11th International Conference on Software Process Improvement (CIMPS) (pp. 126–140). Springer International Publishing. https://doi.org/10.1007/978-3-031-20322-0_9

25. Cruz-Portilla, M., Pérez-Arriaga, J. C., Ocharán-Hernández, J. O., & Sánchez-García, Á. J. (2021). Accessibility in the Software Development Life Cycle: A Systematic Literature Review. In 2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 97–103). IEEE. https://doi.org/10.1109/conisoft52520.2021.00024

24. López-Hernández, D. A., Ocharán-Hernández, J. O., Mezura-Montes, E., & Sánchez-García, Á. J. (2021). Automatic Classification of Software Requirements Using Artificial Neural Networks: A Systematic Literature Review. In 2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 152–160). IEEE. https://doi.org/10.1109/CONISOFT52520.2021.00030

23. Hernández-Molinos, M. J., Sánchez-García, Á. J., & Barrientos-Martínez, R. E. (2021). Classification Algorithms for Software Defect Prediction: A Systematic Literature Review. In 2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 189–196). IEEE. https://doi.org/10.1109/conisoft52520.2021.00034

22. González-Hernández, S., Sánchez-García, Á. J., Cortés-Verdín, K., & Pérez-Arriaga, J. C. (2021). Regression in Estimation of Software Attributes: A Systematic Literature Review. In 2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 54–60). IEEE. https://doi.org/10.1109/conisoft52520.2021.00019

21. Robles-Aguilar, A., Ocharán-Hernández, J. O., Sánchez-García, Á. J., & Limón, X. (2021). Software Design and Artificial Intelligence: A Systematic Mapping Study. In 2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 132–141). IEEE. https://doi.org/10.1109/conisoft52520.2021.00028

20. López-Hernández, D. A., Mezura-Montes, E., Ocharán-Hernández, J. O., & Sánchez-García, Á. J. (2021). Non-functional Requirements Classification Using Artificial Neural Networks. In 2021 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) (vol. 5, pp. 1–6). IEEE. https://doi.org/10.1109/ropec53248.2021.9668132

19. Hernández-Molinos, M. J., Sánchez-García, Á. J., Barrientos-Martínez, R. E., & Pérez-Arriaga, J. C. (2021). Evaluation of Classification Algorithms for Software Defect Prediction. In 2021 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) (pp. 116–121). IEEE. https://doi.org/10.1109/ICMEAE55138.2021.00026

18. González-Martínez, L. R., Cerdán, M. A., & Sánchez-García, Á. J. (2020). Survey on Parking Guidance, Methods and Techniques. In 2020 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)(pp. 41–46). IEEE. https://doi.org/10.1109/icmeae51770.2020.00015

17. Sánchez-García, Á. J., Rios-Figueroa, H. V., García, J. A. S., & Pérez-Arriaga, J. C. (2020). Towards obstacle Identification by Markovian-Evolutionary Segmentation. In 2020 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) (pp. 9–12). IEEE. https://doi.org/10.1109/icmeae51770.2020.00009

16. Pérez-Verdejo, J. M., Sánchez-García, Á. J., & Ocharán-Hernández, J. O. (2020). A Systematic Literature Review on Machine Learning for Automated Requirements Classification. In 2020 8th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 21–28). IEEE. https://doi.org/10.1109/conisoft50191.2020.00014

15. Vargas-Gómez, R., Peréz-Arriaga, J. C., Ocharán-Hernández, J. O., & Sánchez-García, Á. J. (2020). Consensus Mechanisms in Distributed Ledgers for the Protection of Confidential Data: A Multivocal Literature Review. In 2020 8th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 166–173). IEEE. https://doi.org/10.1109/conisoft50191.2020.00032

14. Somohano-Murrieta, J. C. B., Ocharán-Hernández, J. O., Sánchez-García, Á. J., & Arenas-Valdés, M. Á (2020). Requirements Prioritization Techniques in the Last Decade: A Systematic Literature Review. In 2020 8th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 11–20). IEEE. https://doi.org/10.1109/conisoft50191.2020.00013

13. Hernández-González, E. Y., Sánchez-García, Á. J., Cortés-Verdín, M. K., & Pérez-Arriaga, J. C. (2019). Quality Metrics in Software Design: A Systematic Review. In 2019 7th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 80–86). IEEE. https://doi.org/10.1109/conisoft.2019.00021

12. Sánchez-García, Á. J., Ríos-Figueroa, H. V., Limón-Riaño, X., Sánchez-Garciá, J. Á., & Cortés-Verdín, K. (2019). Towards Learning Obstacles to Avoid Collisions in Autonomous Robot Navigation. In 2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) (pp. 24–27). IEEE. https://doi.org/10.1109/icmeae.2019.00012

11. Melchor-Ramírez, S., Cortés, K., Ocharán-Hernandéz, J. O., & Sánchez-García, Á. J. (2018). Software Stability: A Systematic Literature Review. In 2018 6th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 109–115). IEEE. https://doi.org/10.1109/conisoft.2018.8645866

10. Limόn, X., Guerra-Hernández, A., Sánchez-García, A. J., & Arriaga, J. C. P. (2018). SagaMAS: A Software Framework for Distributed Transactions in the Microservice Architecture. In 2018 6th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 50–58). IEEE. https://doi.org/10.1109/conisoft.2018.8645853

9. García, Á., Ríos-Figueroa, H., Marín-Hernández, A., Rechy-Ramírez, E., & Oliva-Uribe, D. (2017). Finding Learned Obstacles to Avoid Collisions in Autonomous Robotic Navigation. In 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 1–5). IEEE. https://doi.org/10.1109/ivcnz.2017.8402489

8. Sánchez-García, Á., Ríos-Figueroa, H., Quintana, G., Montano, A. y Marín, A. (2017) Time-to-Contact Forecasting by Modeling the Apparent Size of Obstacles. In 2017 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) (pp. 3–7). IEEE. https://doi.org/10.1109/icmeae.2017.12

7. Matus-Perdomo, D., Sánchez-García, Á. J., Pérez-Arriaga, J. C., & Ríos-Figueroa, H. V. (2016). Calculation of Optical Flow Using Color Models to Improve the Accuracy of the Identification of Objects in Motion. In 2016 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) (pp. 9–13). IEEE. https://doi.org/10.1109/icmeae.2016.011

6. Sánchez-García, Á. J., Ríos-Figueroa, H. V., Hoyos-Rivera, G. J., & Marín-Hernádez, A. (2016). Estimation of Time-to-Contact for Navigation of Autonomous Robots Using Parallel Processing. In 2016 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) (pp. 26–31). IEEE. https://doi.org/10.1109/icmeae.2016.014

5. Sánchez-García, Á. J., Ríos-Figueroa, H. V., Marín-Hernández, A., Cortés-Verdín, M. K., & Contreras-Vega, G. (2016). Estimation of Time-to-Contact from Tau-margin and Statistical Analysis of Behavior. In 2016 International Conference on Systems, Signals and Image Processing (IWSSIP) (pp. 1–6). IEEE. https://doi.org/10.1109/iwssip.2016.7502702

4. Sánchez-García, Á. J., Ríos-Figueroa, H. V., Marín-Hernánez, A. y Contreras-Vega, G. (2015). Decision Making for Obstacle Avoidance in Autonomous Mobile Robots by Time-to-Contact and Optical Flow. In 2015 International Conference on Electronics, Communications and Computers (CONIELECOMP) (pp. 130–134). IEEE. https://doi.org/1109/CONIELECOMP.2015.7086939

3. Sánchez-García, Á. J., Velasco-Vázquez, M. L., Ríos-Figueroa, H. V., Marín-Hernández, A., & Contreras-Vega, G. (2014). Comparison and Analysis of Models to Predict the Motion of Segmented Regions by Optical Flow. In Human-Inspired Computing and Its Applications: 13th Mexican International Conference on Artificial Intelligence (MICAI) (pp. 16–22). Springer International Publishing. https://doi.org/10.1007/978-3-319-13647-9_27

2. Sánchez-García, Á. J., Ríos-Figueroa, H. V., Marín-Hernández, A., & Acosta-Mesa, H. G. (2014). Tracking and Prediction of Motion of Segmented Regions Using the Kalman Filter. In 2014 International Conference on Electronics, Communications and Computers (CONIELECOMP) (pp. 88–93). IEEE. https://doi.org/10.1109/CONIELECOMP.2014.6808573

1. Sánchez-García, Á. J., Ríos-Figueroa, H. V., & Marín-Hernández, A. (2013). Description of Motion of Segmented Regions. In 2013 Mexican International Conference on Computer Science (pp. 105–109). IEEE. https://doi.org/10.1109/enc.2013.21

 

Capítulos de libro

 

1. Sánchez-García, Á. J., Ríos-Figueroa, H. V., Quintana, G. y Marín-Hernández, A. (2018). Predicting Collisions in Mobile Robot Navigation by Kalman Filter. Kalman Filters: Theory for Advanced Applications, 151. https://doi.org/10.5772/intechopen.71653

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