A genetic algorithm based framework for software effort prediction J Murillo-Morera, C Quesada-López, C Castro-Herrera, M Jenkins Journal of software engineering research and development 5, 1-33, 2017 | 63 | 2017 |
Implementación del Cuadro de Mando Integral en pequeñas empresas: una revisión de literatura E Argüello-Solano, C Quesada-López Revista de Ciencias Económicas 33 (2), 79-122, 2015 | 52 | 2015 |
Evaluating Hyper-parameter Tuning using Random Search in Support Vector Machines for Software Effort Estimation L Villalobos-Arias, C Quesada-López, J Guevara-Coto, A Martínez, ... | 50 | 2020 |
Automated testing of mobile applications: a systematic map and review A Méndez-Porras, C Quesada-López, M Jenkins XVIII Ibero-American Conference on Software Engineering, Lima-Peru, 195-208, 2015 | 49 | 2015 |
Identifying the implied: Findings from three differentiated replications on the use of security requirements templates M Riaz, J King, J Slankas, L Williams, F Massacci, C Quesada-López, ... Empirical software engineering 22, 2127-2178, 2017 | 29 | 2017 |
Comparative study of random search hyper-parameter tuning for software effort estimation L Villalobos-Arias, C Quesada-López Proceedings of the 17th International Conference on Predictive Models and …, 2021 | 25 | 2021 |
Implementation of Project Based Learning: Lessons Learned C Quesada-López, A Martínez 2019 XLV Latin American Computing Conference (CLEI), 1-10, 2019 | 21 | 2019 |
Comparing the effort and effectiveness of automated and manual tests I Dobles, A Martínez, C Quesada-López 2019 14th Iberian Conference on Information Systems and Technologies (CISTI …, 2019 | 20 | 2019 |
Software fault prediction: A systematic mapping study J Murillo-Morera, C Quesada-López, M Jenkins Proceedings of the XVIII Iberoamerican Conference on Software Engineering, 2015 | 18 | 2015 |
A prototype mobile expert system for nutritional diagnosis C Quesada, M Jenkins The Twenty-Sixth International FLAIRS Conference, 2013 | 18 | 2013 |
Sistemas de apoyo a la toma de decisiones que usan inteligencia artificial en la agricultura de precisión JA Brenes Carranza, A Martínez Porras, CU Quesada López, ... | 16 | 2020 |
Model-based testing areas, tools and challenges: A tertiary study L Villalobos-Arias, C Quesada-López, A Martinez, M Jenkins CLEI Electronic Journal 22 (1), 3: 1-3: 38, 2019 | 16 | 2019 |
A tertiary study on model-based testing areas, tools and challenges: Preliminary results L Villalobos Arias, C Quesada López, A Martínez Porras, ... | 16 | 2018 |
Measuring students' contributions in software development projects using Git metrics S Hamer, C Quesada-López, A Martínez, M Jenkins 2020 XLVI Latin American Computing Conference (CLEI), 531-540, 2020 | 15 | 2020 |
An Empirical Evaluation of Automated Function Points C Quesada-López, D Madrigal, M Jenkins Ibero-American Conference on Software Engineering, 151-165, 2016 | 14 | 2016 |
IoT for cancer treatment: A mapping study D Villegas, A Martínez, C Quesada-López, M Jenkins 2020 15th Iberian Conference on Information Systems and Technologies (CISTI …, 2020 | 11 | 2020 |
Uso de técnicas de minería de datos y aprendizaje automático para la detección de fraudes en estados financieros: un mapeo sistemático de literatura A Ramírez-Alpízar, M Jenkins, A Martínez, C Quesada-López Revista Ibérica de Sistemas e Tecnologias de Informação, 97-109, 2020 | 11 | 2020 |
Applying a verification protocol to evaluate the accuracy of functional size measurement procedures: an empirical approach C Quesada-López, M Jenkins Product-Focused Software Process Improvement: 16th International Conference …, 2015 | 11 | 2015 |
Function point structure and applicability validation using the ISBSG dataset: a replicated study C Quesada-López, M Jenkins Proceedings of the 8th ACM/IEEE International Symposium on Empirical …, 2014 | 11 | 2014 |
Using git metrics to measure students’ and teams’ code contributions in software development projects S Hamer, C Quesada-López, A Martínez, M Jenkins CLEI electronic journal 24 (2), 8: 1-8-29, 2021 | 10 | 2021 |