Artículos de Journal (JCR)
19. Sánchez-García, Ángel J., Barradas-Fernández, A., Alonso-Ramírez, O., Limón, X. (2026). Systematic Literature Review on the Use of Cluster Analysis in Software Design Activities. nternational Journal of Combinatorial Optimization Problems and Informatics. Aceptado
18. Isabel Vega-Rebolledo, Angel J. Sánchez-García, José Juan Muñoz León, Jorge Octavio Ocharán-Hernández, Karen Cortés-Verdín. (2025). Applying survival analysis and Explainable Artificial Intelligence to understand academic success in software engineering students, Array, 2025, 100540, https://doi.org/10.1016/j.array.2025.100540
17. Martínez-Aguilar, S., Sánchez-García, A. J., López-Martín, C., & Ocharán-Hernández, J. O. (2025). Systematic Literature Review on Effort Estimation by Software Development Life Cycle Phases. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3605102.
16. Pérez-Arriaga, J. C., Sánchez-García, Á. J., Alarcón-Alarcón, J., Hernández-González, L. A. (2025). Understanding Gender Diversity in Software Teams: Insights from a Systematic Literature Review. Programming and Computer Software. Aceptado
15. Criollo-Ramírez, L., Limón-Riaño, X., Sánchez-García, Á. J., Pérez-Arriaga, J. C. (2025). State of the Art of the Security of Code Generated by LLMs: A Multivocal Literature Review. Programming and Computer Software. Aceptado
14. Torres-Igartua, M. J., Sánchez-García, Á. J., Ocharán-Hernández, J. O., Vázquez-Reyes, S. (2025). Natural Language Processing for Requirements Elicitation and Analysis: A Systematic Literature Review of Techniques and Tools. Programming and Computer Software. Aceptado
13. Arredondo-Reyes, V. M., Domínguez-Isidro, S., Sánchez-García, Á. J., & Limón-Riaño, H. X. (2024). Analysis of Behavior-Driven Development: A Thematic Synthesis. Programming and Computer Software. https://doi.org/10.1134/S0361768824700713.
12. Sánchez-García, Á. J., Limón-Riaño, H. X., Domínguez-Isidro, S., Olvera-Villeda, D. J., & Pérez-Arriaga, J. C. (2024). Class Balancing Approaches to Improve for Software Defect Prediction Estimations: A Comparative Study. Programming and Computer Software. https://doi.org/10.1134/S036176882470066X.
11. 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. Mathematics, 12(7), 1058. https://doi.org/10.3390/math12071058.
10. 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 Access, 11, 135235-135254. https://doi.org/10.1109/ACCESS.2023.3337809
9. 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 Software, 49, 712–734. https://doi.org/10.1134/S0361768823080145
8. 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.
7. 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 Informatics, 14(3), 61–70. https://doi.org/10.61467/2007.1558.2023.v14i3.408.
6. 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 Informatics, 14(3), 91–102. https://doi.org/10.61467/2007.1558.2023.v14i3.409.
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 Robotics, 32(8), 426-442. https://doi.org/10.1080/01691864.2018.1455604.
Capítulos de libro
7. Ramírez-Zárate, M., Sánchez-García, Ángel J., Hernández-González, L.A., Domínguez-Isidro, S. (2025). Current State of the Application of Explainable Artificial Intelligence XAI and Software Defect Prediction: A Systematic Literature Review. In Studies in Computational Intelligence. Springer. Por publicar. 
6. Barradas, A., Sánchez-García, Ángel J., & Alonso-Ramírez, O., Limón, X. (2025). Cluster Analysis in Software Testing: Insights from a Systematic Literature. In Studies in Computational Intelligence. Springer. Por publicar.
5. Sánchez-García, Ángel J. (2025). Seguimiento inteligente: Modelando movimiento de objetos en cámaras de video. Desafíos multidisciplinarios en la construcción de ciudadanía global, social y solidaria: procesos y modelos metodológicos. Primera edición. Universidad de Xalapa A.C. ISBN: 978-607-8991-52-5. https://doi.org/10.5281/zenodo.16944325
4. Arguello Ortíz, Ángel F., Sánchez-García, Ángel J. (2025). Ciencia de datos aplicada al análisis de asociación entre la necesidad de servicios de salud en población dependiente y el índice de marginación urbana por AGEB en 2020. Desafíos multidisciplinarios en la construcción de ciudadanía global, social y solidaria: procesos y modelos metodológicos. Primera edición. Universidad de Xalapa A.C. ISBN: 978-607-8991-52-5. https://doi.org/10.5281/zenodo.16944357
3. Hernández-González, L.A., Sánchez-García, Á.J., Rodríguez-Salamanca, C., Limón-Riaño, H.X. (2025). Analysis of Software Requirements Elicitation Techniques for Medical Information Systems: A Systematic Literature Review. In New Challenges in Software Engineering. Studies in Computational Intelligence, vol 1209. Springer, Cham. https://doi.org/10.1007/978-3-031-90310-6_10
2. Domínguez-Isidro, S., Sánchez-García, Á.J., Morales-Utrera, A.J., Limón, X. (2025). Machine Learning Techniques for Automatic Program Repair: A Systematic Literature Mapping. In New Challenges in Software Engineering. Studies in Computational Intelligence, vol 1209. Springer, Cham. https://doi.org/10.1007/978-3-031-90310-6_32
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
Artículos de revista
29. Isabel Vega Rebolledo; José Juan Muñoz León; Ángel Juan Sánchez García; Cecilia Cruz López. (2025). Métodos de estimación en regresión de Cox para calcular la probabilidad de supervivencia académica en estudiantes universitarios. Veritas Revista multidisciplinar. Volumen 6, Número 3. Por publicar
28. César González López, Pablo Hernán De la Cruz Moreno, Juan Carlos Pérez-Arriaga, Ángel J. Sánchez-García. Accessible Authentication mechanisms in Web and Mobile Systems for People with Disabilities: A Systematic Literature Review. Por publicar
27. Eduardo López-Chacón, Juan Carlos Pérez-Arriaga, Ángel J. Sánchez-García, Lizbeth Alejandra Hernández-González. Análisis de Prácticas para reducir el consumo de energía en las pruebas de software: Una Revisión Sistemática de la Literatura. Por publicar
26. Franz Jesús Rivera Alcántara, Ángel Sánchez García, José Juan Muñoz León, Jorge Octavio Ocharán Hernández. Técnicas de Análisis de Supervivencia para la Identificación de Deserción en Estudiantes: Una Revisión Sistemática de la Literatura. Por publicar
25. Domínguez-Domínguez, Mariela J., Sánchez-García, Ángel J., Zavaleta-Sánchez, Y., Alarcón-Rojas, Carlos. (2025). Algorithms and Approaches Used in Medical Image Segmentation for Cell Migration Tracking: A Systematic Literature Review. Research in Computing Science. 154 (7). pp 43-55. Enlace.
24. Barradas, A., Sánchez-García, Ángel J., & Alonso-Ramírez, O. (2025). Application of Cluster Analysis in Software Design Activities: A Systematic Literature Review. Abstraction & Application. Vol. 50(2025). pp. 136-149 Enlace.
23. Vega Rebolledo , I., Muñoz León, J. J., Sánchez García , Ángel J. (2025). Aprendizaje supervisado para analizar la relación entre el perfil de ingreso y la trayectoria escolar en estudiantes de la licenciatura en Ingeniería de Software-Universidad Veracruzana Región Xalapa 2014-2017. Emergentes – Revista Científica, 5(1), 663–713. Enlace.
22. Dorantes Hernández, M., Cortés Verdín, M. K., Arenas Valdés, Ángeles, & Sánchez García, Ángel J. (2025). Facilidad de evolución y mantenimiento de software: una revisión de la literatura. ReCIBE, Revista electrónica De Computación, Informática, Biomédica Y Electrónica, 14(1), C7–19. Enlace.
21. Castillo-Hernández, S., Domínguez-Isidro, S., & Sánchez-García, Á. J. (2024). Ant Colony Optimization in Software Testing: A Systematic Literature Review. Abstraction and Application. Abstraction and Application, 48(2024), pp. 12-23. Enlace.
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. Peredo-Estudillo, R., Pérez-Arriaga, J. C., Contreras-Vega, G., & Sánchez-García, Á. J. (2023). Enseñanza de Programación para Niños y Jóvenes con Discapacidad Visual: Un 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 Science, 151(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 Science, 151(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-Riaño, H. 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. Ortega-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
54. Barradas, A., Sánchez-García, Ángel J., & Alonso-Ramírez, O., Limón, X. (2025). Current Status of Cluster Analysis Application in Software Construction Activities: A Systematic Literature Review. IEEE Mexican International Conference on Computer Science, Encuentro Nacional de Computación, ENC 2025. Aceptado
53. Llaguno Roque José Luis, Romo Gonzalez De La Parra Tania, Acosta Mesa Hector Gabriel , Lopez Lobato Adriana Laura, Barranca Enriquez Antonia, Sanchez Garcia Angel Juan (2025). Web Module for Breast Cancer Risk Prediction Using Clinical and Psychological Data. In 7th Workshop on New Trends in Computational Intelligence and Applications (CIAPP 2025). Aceptado
52. Payón-Aguilar, F., Sánchez-García, Á. J., Domínguez-Isidro, S., Pérez-Arriaga, J. C., & Hernández-González, L. A. (2025). Code Summaritzation Tools Based on Artificial Intelligence: A Systematic Literature Review. In International Conference on Applied Robotics and Intelligent Systems (ICARIS) and the 2025 IEEE Latin American School on Computational Intelligence and Robotics. Por publicar.
51. Fuentes-De Jesús, J. A., Sánchez-García, Á. J., & Alonso-Ramírez, O. (2025). International Conference on Applied Robotics and Intelligent Systems (ICARIS) and the 2025 IEEE Latin American School on Computational Intelligence and Robotics. Por publicar.
50. Lezama, C., Pérez-Arriaga, J. C., Sánchez-García, Á. J., & Ocharán-Hernández, J.O. (2025). User Interface Design Strategies for Promoting Engagement: A Systematic Literature Review. 13th International Conference on Software Engineering Researchand Innovation – CONISOFT 2025. Por publicar
49. Melchor-Cabeza de Vaca M. A., Sánchez-García, Á. J., Ocharán-Hernández, J.O., & Domínguez-Isidro, S. (2025). A Swarm Intelligence-Based Method for Requirements Prioritization Using Particle Swarm Optimization and the Analytic Hierarchy Process. 13th International Conference on Software Engineering Researchand Innovation – CONISOFT 2025. Por publicar
48. Aguilar-López, R., Sánchez-García, Ángel J., Pérez-Arriaga, J. C. & Limón, X. (2025). The Impact of Generative Artificial Intelligence on Software Development Teams During the Construction Phase: A Systematic Mapping Study. 13th International Conference on Software Engineering Researchand Innovation – CONISOFT 2025. Por publicar
47. Domínguez-Domínguez, M.J., Sánchez-García, Á.J., Fuentes-Tomás, JA., Acosta-Mesa, HG., Zavaleta-Sánchez, M.Y., Rojas, C.A.A. (2026). Automated Segmentation of Hepatic Tumor Cell Migration Using U-Net Models. In: Martínez-Villaseñor, L., Vázquez, R.A., Ochoa-Ruiz, G. (eds) Advances in Soft Computing. MICAI 2025. Lecture Notes in Computer Science(), vol 16222. Springer, Cham. https://doi.org/10.1007/978-3-032-09044-7_30
46. Guzmán Chávez, G., Jaramillo Pazmiño, P., Sánchez-García, Á. J. (2025). Optimización metaheurística para la selección espacial de intervenciones en la ciudad de Quito ante riesgos climáticos. Resiliencia en el entorno construido 2025, Cuenca, Ecuador. Por publicar
45. Melchor-Cabeza de Vaca M. A., Sánchez-García, Á. J., & Ocharán-Hernández, J.O. (2024). AI-Bases Techniques for Software Requirements Prioritization: A Systematic Literature Review. In Encuentro Nacional de Computación, Eureka, (ENC) IEEE. Por publicar
44. Torres-Igartua, M. J., Sánchez-García, Á. J., Ocharán-Hernández, J. O., & Vázquez-Reyes, S. (2024). Analysis of Natural Language Processing Techniques and Tools for Requirements Elicitation: A Systematic Literature Review. In 2024 12th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 48–57). IEEE. https://doi.org/10.1109/CONISOFT63288.2024.00017.
43. Mercader-Olivares, E. I., Martínez-Moreno, P., Sánchez-García, Á. J., Vergara-Camacho, J. A., & Ocharán-Hernández, J. O. (2024). Cluster Analysis in the Identification of Patterns in Software Development with Agile Methodologies: a Systematic Literature Review. In 2024 12th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 147–155). IEEE. https://doi.org/10.1109/CONISOFT63288.2024.00028.
42. Alarcón-Alarcón, J., Pérez-Arriaga, J. C., Sánchez-García, Á. J., & Hernández-González, L. A. (2024). Gender Diversity in Software Development Teams: A Systematic Literature Review. In 2024 12th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 304–312). IEEE. https://doi.org/10.1109/CONISOFT63288.2024.00047.
41. Sánchez-Pereyra, M., Pérez-Arriaga, J. C., Sánchez-García, Á. J., & Martínez-Moreno, P. (2024). Identification of Practices For Representing Indigenous Groups in Software Requirements Elicitation: A Systematic Literature Review. In 2024 12th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 63–71). IEEE. https://doi.org/10.1109/CONISOFT63288.2024.00019.
40. Vega-Rebolledo, I., Sánchez-García, Á. J., Muñóz-León, J. J., Cortés-Verdín, M. K., & Ocharán-Hernández, J. O. (2024). Influence of the Entry Profile for the Software Engineering Bachelor Degree on a Successful Academic Trajectory: Case Study. In 2024 12th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 340–348). IEEE. https://doi.org/10.1109/CONISOFT63288.2024.00051.
39. Hernández-Marcial, B. J., Limón-Riaño, H. X., Sánchez-García, Á. J., & Pérez-Arriaga, J. C. (2024). Secure Cryptography Usage in Software Development: A Systematic Literature Review. In 2024 12th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 218–227). IEEE. https://doi.org/10.1109/CONISOFT63288.2024.00036.
38. Criollo-Ramírez, L., Limón-Riaño, H. X., Sánchez-García, Á. J., & Pérez-Arriaga, J. C. (2024). State of the Art of the Security of Code Generated by LLMs: A Systematic Literature Review. In 2024 12th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 331–339). IEEE. https://doi.org/10.1109/CONISOFT63288.2024.00050.
37. Panamá-Velásquez, A., Pérez-Salazar, C., Hernández-González, L. A., & Sánchez-García, Á. J. (2024). Systematic Literature Review of Low-Code and Its Future Trends. In 2024 12th International Conference in Software Engineering Research and Innovation (CONISOFT) (pp. 30–37). IEEE. https://doi.org/10.1109/CONISOFT63288.2024.00015.
36. 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) (pp. 45–54). IEEE. https://doi.org/10.1109/CONISOFT58849.2023.00016.
35. 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) (pp. 236–245). IEEE. https://doi.org/10.1109/CONISOFT58849.2023.00038.
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) (pp. 1–8). IEEE. https://doi.org/10.1109/CONISOFT58849.2023.00011.
33. 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) (pp. 35–44). IEEE. https://doi.org/10.1109/CONISOFT58849.2023.00015.
32. 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) (pp. 132–139). IEEE. https://doi.org/10.1109/CONISOFT58849.2023.00026.
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