Publications

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Filters: Auteur is Abran, A.  [Clear All Filters]
Conference Paper
I. Abnane, Idri, A., et Abran, A., « Empirical evaluation of fuzzy analogy for Software Development Effort Estimation », in Proceedings of the ACM Symposium on Applied Computing, 2017, vol. Part F128005, p. 1302-1304.
A. Idri, Zakrani, A., et Abran, A., « Functional equivalence between radial basis function neural networks and Fuzzy analogy in software cost estimation », in 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA, 2008.
A. Idri, Zakrani, A., Elkoutbi, M., et Abran, A., « Fuzzy radial basis function neural networks for web applications cost estimation », in Innovations'07: 4th International Conference on Innovations in Information Technology, IIT, 2008, p. 576-580.
I. Abnane, Idri, A., Hosni, M., et Abran, A., « Heterogeneous ensemble imputation for software development effort estimation », in PROMISE 2021 - Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering, co-located with ESEC/FSE 2021, 2021, p. 1-10.
M. Hosni, Idri, A., Nassif, A. B., et Abran, A., « Heterogeneous Ensembles for Software Development Effort Estimation », in Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016, 2017, p. 174-178.
C. Miloudi, Cheikhi, L., Abran, A., et Idri, A., « Maintenance Effort Estimation for Open Source Software: Current trends », in CEUR Workshop Proceedings, 2022, vol. 3272.
S. Elmidaoui, Cheikhi, L., Idri, A., et Abran, A., « Predicting software maintainability using ensemble techniques and stacked generalization », in CEUR Workshop Proceedings, 2020, vol. 2725.
Journal Article
B. ElOuassif, Idri, A., Hosni, M., et Abran, A., « Classification techniques in breast cancer diagnosis: A systematic literature review », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 9, p. 50-77, 2021.
E. S. Koutbi, Idri, A., et Abran, A., « Empirical evaluation of an entropy-based approach to estimation variation of software development effort », Journal of Software: Evolution and Process, vol. 31, 2019.
M. Hosni, Idri, A., et Abran, A., « Evaluating filter fuzzy analogy homogenous ensembles for software development effort estimation », Journal of Software: Evolution and Process, vol. 31, 2019.
A. Idri, Abnane, I., et Abran, A., « Evaluating Pred(p) and standardized accuracy criteria in software development effort estimation », Journal of Software: Evolution and Process, vol. 30, 2018.
I. Abnane, Idri, A., et Abran, A., « Fuzzy case-based-reasoning-based imputation for incomplete data in software engineering repositories », Journal of Software: Evolution and Process, vol. 32, 2020.
C. Miloudi, Cheikhi, L., Idri, A., et Abran, A., « The Impact of Instance Selection Algorithms on Maintenance Effort Estimation for Open-Source Software », Lecture Notes in Networks and Systems, vol. 470 LNNS, p. 191-201, 2022.
A. B. Nassif, Azzeh, M., Idri, A., et Abran, A., « Software development effort estimation using regression fuzzy models », Computational Intelligence and Neuroscience, vol. 2019, 2019.
A. Idri, Abnane, I., et Abran, A., « Support vector regression-based imputation in analogy-based software development effort estimation », Journal of Software: Evolution and Process, vol. 30, 2018.
S. Elmidaoui, Cheikhi, L., Idri, A., et Abran, A., « Towards a Taxonomy of Software Maintainability Predictors: A Detailed View », Lecture Notes in Networks and Systems, vol. 470 LNNS, p. 202-210, 2022.
M. Hosni, Idri, A., et Abran, A., « On the value of filter feature selection techniques in homogeneous ensembles effort estimation », Journal of Software: Evolution and Process, vol. 33, 2021.
M. Hosni, Idri, A., Abran, A., et Nassif, A. B., « On the value of parameter tuning in heterogeneous ensembles effort estimation », Soft Computing, vol. 22, p. 5977-6010, 2018.
M. Hosni, Idri, A., Abran, A., et Nassif, A. B., « On the value of parameter tuning in heterogeneous ensembles effort estimation », Soft Computing, p. 1-34, 2017.

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