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Journal of Software: Evolution and Process(4)
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scopus(13)
Analogy-based software development effort estimation: A systematic mapping and review
ReviewAbstract: Context: Analogy-based Software development Effort Estimation (ASEE) techniques have gained considerPalabras claves:analogy, Case-based reasoning, mapping study, Software development effort estimation, Systematic literature reviewAutores:Alain Abran, Amazal F.A., 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:scopusEvaluating filter fuzzy analogy homogenous ensembles for software development effort estimation
ArticleAbstract: Researchers have developed and evaluated many techniques to deliver accurate estimates of the effortPalabras claves:ensemble, feature selection, filter, fuzzy analogy, Software development effort estimationAutores:Alain Abran, Hosni M., 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: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: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: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:scopusImproved estimation of software development effort using Classical and Fuzzy Analogy ensembles
ArticleAbstract: Delivering an accurate estimate of software development effort plays a decisive role in successful mPalabras claves:analogy, ensemble effort estimation, fuzzy logic, Software development effort estimationAutores:Alain Abran, Hosni M., Idri A.Fuentes:scopus