Documentos de Hosni M. | REDI

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Mostrando 5 resultados de: 5

Filtros aplicados

Palabras Claves: "Machine learning"

Subtipo de publicación

Conference Object(3)

Publisher

ACM International Conference Proceeding Series(1)

ICSOFT 2018 - Proceedings of the 13th International Conference on Software Technologies(1)

Journal of Software: Evolution and Process(1)

PROMISE 2021 - Proceedings of the 17th International Conference on Pbkp_redictive Models and Data Analytics in Software Engineering, co-located with ESEC/FSE 2021(1)

Soft Computing(1)

Área temáticas

Ciencias de la computación(3)

Métodos informáticos especiales(3)

Programación informática, programas, datos, seguridad(3)

Funcionamiento de bibliotecas y archivos(1)

Área de conocimiento

Aprendizaje automático(3)

Ingeniería de software(2)

Ciencias de la computación(1)

Modelo estadístico(1)

Objetivos de Desarrollo Sostenible

ODS 8: Trabajo decente y crecimiento económico(5)

ODS 9: Industria, innovación e infraestructura(5)

ODS 17: Alianzas para lograr los objetivos(4)

ODS 12: Producción y consumo responsables(1)

Año de Publicación

Origen

Palabras Claves

Software development effort estimation(3)

ensemble effort estimation(2)

feature selection(2)

Features selection(1)

Heterogeneous ensemble imputation for software development effort estimation

Conference Object

Abstract: Choosing the appropriate Missing Data (MD) imputation technique for a given Software development eff

Palabras claves:

heterogenous ensemble, imputation, Machine learning, Missing data, Software development effort estimation, standardized accuracy

Abnane I., Alain Abran, Hosni M., Idri A.

Improved effort estimation of heterogeneous ensembles using filter feature selection

Conference Object

Abstract: Estimating the amount of effort required to develop a new software system remains the main activity

Palabras claves:

ensemble, feature selection, filter, Machine learning, Software development effort estimation

Alain Abran, Hosni M., Idri A.

Investigating heterogeneous ensembles with filter feature selection for software effort estimation

Conference Object

Abstract: Ensemble Effort Estimation (EEE) consists on predicting the software development effort by combining

Palabras claves:

accuracy, ensemble effort estimation, Features selection, filter, Machine learning

Alain Abran, Hosni M., Idri A.

On the value of filter feature selection techniques in homogeneous ensembles effort estimation

Abstract: Software development effort estimation (SDEE) remains as the principal activity in software project

Palabras claves:

ensemble effort estimation, feature selection, filter, Machine learning, Software development effort estimation

Alain Abran, Hosni M., Idri A.

On the value of parameter tuning in heterogeneous ensembles effort estimation

Abstract: Accurate estimation of software development effort estimation (SDEE) is fundamental for efficient ma

Palabras claves:

Heterogeneous ensembles, Machine learning, Optimization techniques, Software effort estimation, Swarm optimization

Alain Abran, Hosni M., Idri A., Nassif A.B.