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2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings(1)
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scopus(7)
Heterogeneous 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:scopusOn the value of filter feature selection techniques in homogeneous ensembles effort estimation
ArticleAbstract: Software development effort estimation (SDEE) remains as the principal activity in software projectPalabras claves:ensemble effort estimation, feature selection, filter, Machine learning, Software development effort estimationAutores:Alain Abran, Hosni M., Idri A.Fuentes:scopusOn the value of parameter tuning in heterogeneous ensembles effort estimation
ArticleAbstract: Accurate estimation of software development effort estimation (SDEE) is fundamental for efficient maPalabras claves:Heterogeneous ensembles, Machine learning, Optimization techniques, Software effort estimation, Swarm optimizationAutores:Alain Abran, Hosni M., Idri A., Nassif A.B.Fuentes:scopusImproved effort estimation of heterogeneous ensembles using filter feature selection
Conference ObjectAbstract: Estimating the amount of effort required to develop a new software system remains the main activityPalabras claves:ensemble, feature selection, filter, Machine learning, Software development effort estimationAutores:Alain Abran, Hosni M., Idri A.Fuentes:scopusInvestigating heterogeneous ensembles with filter feature selection for software effort estimation
Conference ObjectAbstract: Ensemble Effort Estimation (EEE) consists on pbkp_redicting the software development effort by combiPalabras claves:accuracy, ensemble effort estimation, Features selection, filter, Machine learningAutores:Alain Abran, Hosni M., Idri A.Fuentes:scopusPbkp_redicting software maintainability using ensemble techniques and stacked generalization
Conference ObjectAbstract: The pbkp_rediction of software maintainability has emerged as an important research topic to addressPalabras claves:ensemble techniques, Heterogeneous, Homogeneous, Machine learning, Software maintainability pbkp_rediction, Stacked generalization, StackingAutores:Alain Abran, Cheikhi L., Elmidaoui S., 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