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Analogy Software Effort Estimation Using Ensemble KNN Imputation
Conference ObjectAbstract: Missing data are a serious issue that influences the pbkp_rediction accuracy of software developmentPalabras claves:Analogy-based-software-efoort-estimation, ensemble, grid-search, missing-data, parameter-optimisationAutores:Abnane I., Alain Abran, Hosni M., Idri A.Fuentes:scopusDealing with missing values in software project datasets: A systematic mapping study
Conference ObjectAbstract: Missing Values (MV) present a serious problem facing research in software engineering (SE) which isPalabras claves:Missing values, Software Engineering, Systematic Mapping StudyAutores:Abnane I., Alain Abran, Idri A.Fuentes:scopusFuzzy case-based-reasoning-based imputation for incomplete data in software engineering repositories
ArticleAbstract: Missing data is a serious issue in software engineering because it can lead to information loss andPalabras claves:accuracy, categorical data, empirical software engineering, fuzzy analogy, imputation, Missing dataAutores:Abnane I., Alain Abran, Idri A.Fuentes:scopusEmpirical 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:scopusOptimized fuzzy clustering-based k-nearest neighbors imputation for mixed missing data in software development effort estimation
ArticleAbstract: Context: Software development effort estimation (SDEE) is one of the most challenging aspects in proPalabras claves:fuzzy logic, imputation, Missing data, Software development effort estimationAutores:Abnane I., Alain Abran, Idri A.Fuentes:scopusMissing data techniques in analogy-based software development effort estimation
ArticleAbstract: Missing Data (MD) is a widespread problem that can affect the ability to use data to construct effecPalabras claves:analogy-based software development effort estimation, imputation, Missing dataAutores:Abnane I., Alain Abran, Idri A.Fuentes:scopusSupport vector regression-based imputation in analogy-based software development effort estimation
ArticleAbstract: Missing data (MD) is a widespread problem that can affect the ability to use data to construct effecPalabras claves:analogy-based software development effort estimation, imputation, K-NEAREST NEIGHBORS, Missing data, Support Vector MachineAutores:Abnane I., Alain Abran, Idri A.Fuentes:scopus