Mostrando 5 resultados de: 5
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Publisher
2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings(1)
Empirical Software Engineering(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)
Proceedings of the ACM Symposium on Applied Computing(1)
Área temáticas
Programación informática, programas, datos, seguridad(5)
Ciencias de la computación(3)
Funcionamiento de bibliotecas y archivos(1)
Área de conocimiento
Software(5)
Ingeniería de software(4)
Aprendizaje automático(1)
Ciencias de la computación(1)
Origen
scopus(5)
Empirical evaluation of fuzzy analogy for Software Development Effort Estimation
Conference ObjectAbstract: Software Development Effort Estimation (SDEE) plays a primary role in software project management. APalabras claves:fuzzy analogy, Software development effort estimationAutores:Abnane I., Alain Abran, Idri A.Fuentes:scopusEvaluating Pred(p) and standardized accuracy criteria in software development effort estimation
ArticleAbstract: Software development effort estimation (SDEE) plays a primary role in software project management. BPalabras claves:accuracy measure, MMRE, Pred(p), Software development effort estimation, standardized accuracyAutores:Abnane I., Alain Abran, Idri A.Fuentes:scopusEvaluating ensemble imputation in software effort estimation
ArticleAbstract: Choosing the appropriate missing data (MD) imputation technique for a given software development effPalabras claves:ensemble, imputation, Missing data, Software development effort estimationAutores:Abnane I., Alain Abran, Chlioui I., Idri A.Fuentes:scopusHeterogeneous ensemble imputation for software development effort estimation
Conference ObjectAbstract: Choosing the appropriate Missing Data (MD) imputation technique for a given Software development effPalabras claves:heterogenous ensemble, imputation, Machine learning, Missing data, Software development effort estimation, standardized accuracyAutores:Abnane I., Alain Abran, Hosni M., Idri A.Fuentes:scopusSystematic mapping study of missing values techniques in software engineering data
Conference ObjectAbstract: Missing Values (MV) present a serious problem facing research in software engineering (SE) which isPalabras claves:Machine learning, Missing values, Software engineering data, Systematic Mapping StudyAutores:Abnane I., Alain Abran, Idri A.Fuentes:scopus