关注
marcelo jenkins
marcelo jenkins
在 ucr.ac.cr 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
632017
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, ...
Proceedings of the 16th ACM international conference on predictive models …, 2020
492020
Automated testing of mobile applications: A systematic map and review
A Méndez Porras, CU Quesada López, M Jenkins Coronas
482015
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
282017
Software Fault Prediction: A Systematic Mapping Study.
J Murillo-Morera, C Quesada-López, M Jenkins
CIbSE, 446, 2015
182015
A prototype mobile expert system for nutritional diagnosis
C Quesada, M Jenkins
The Twenty-Sixth International FLAIRS Conference, 2013
182013
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
162019
A tertiary study on model-based testing areas, tools and challenges: Preliminary results
L Villalobos Arias, CU Quesada López, A Martínez Porras, ...
162018
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
152020
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, ...
152020
A Software Defect-Proneness Prediction Framework: A new approach using genetic algorithms to generate learning schemes.
J Murillo-Morera, M Jenkins
SEKE, 445-450, 2015
152015
Application of statistical process control to software defect metrics: An industry experience report
C Fernández-Corrales, M Jenkins, J Villegas
2013 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2013
152013
An Empirical Evaluation of Automated Function Points.
C Quesada-López, D Madrigal-Sánchez, M Jenkins
CIbSE, 214-228, 2016
142016
Comparación de las iniciativas latinoamericanas para mejorar la Industria del Software
M Jenkins
Feria Internacional Informática, 2007
142007
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
112020
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
112020
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
112015
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
112014
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
102021
Hyper-parameter tuning of classification and regression trees for software effort estimation
L Villalobos-Arias, C Quesada-López, A Martínez, M Jenkins
Trends and Applications in Information Systems and Technologies: Volume 3 9 …, 2021
102021
系统目前无法执行此操作,请稍后再试。
文章 1–20