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Journal of Software: Evolution and Process(2)
2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings(1)
Empirical Software Engineering(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 - 45th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2019(1)
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scopus(8)
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: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: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