| Investigating the use of random forest in software effort estimation H Mustapha, N Abdelwahed Procedia computer science 148, 343-352, 2019 | 96 | 2019 |
| Design of radial basis function neural networks for software effort estimation A Idri, A Zakrani, A Zahi IJCSI International Journal of Computer Science Issues 7 (4), 2010 | 89 | 2010 |
| Software cost estimation models using radial basis function neural networks A Idri, A Zahi, E Mendes, A Zakrani Software Process and Product Measurement: International Conference, IWSM …, 2008 | 40 | 2008 |
| Support vector regression based on grid-search method for agile software effort prediction A Zakrani, A Najm, A Marzak 2018 IEEE 5th International Congress on Information Science and Technology …, 2018 | 32 | 2018 |
| Improving software development effort estimating using support vector regression and feature selection A Zakrani, M Hain, A Idri IAES International Journal of Artificial Intelligence 8 (4), 399, 2019 | 22 | 2019 |
| Applying radial basis function neural networks based on fuzzy clustering to estimate web applications effort A Zakrani, A Idri International Review on Computers and Software 5 (5), 516-524, 2010 | 16 | 2010 |
| Decision trees based software development effort estimation: A systematic mapping study A Najm, A Zakrani, A Marzak 2019 International Conference of Computer Science and Renewable Energies …, 2019 | 15 | 2019 |
| Software development effort estimation using random forests: an empirical study and evaluation A Zakrani, M Hain, A Namir International Journal of Intelligent Engineering and Systems 11 (6), 300-311, 2018 | 14 | 2018 |
| Functional equivalence between radial basis function neural networks and fuzzy analogy in software cost estimation A Idri, A Zakrani, A Abran 2008 3rd International Conference on Information and Communication …, 2008 | 13 | 2008 |
| Systematic review study of decision trees based software development effort estimation A Najm, A Zakrani, A Marzak International Journal of Advanced Computer Science and Applications 11 (7), 2020 | 11 | 2020 |
| An ensemble of optimal trees for software development effort estimation Z Abdelali, M Hicham, N Abdelwahed Smart Data and Computational Intelligence: Proceedings of the International …, 2019 | 10 | 2019 |
| Fuzzy radial basis function neural networks for web applications cost estimation A Idri, A Zakrani, M Elkoutbi, A Abran 2007 Innovations in Information Technologies (IIT), 576-580, 2007 | 10 | 2007 |
| A new approach to MES system deployment M Hain, H Moutachaouik, A Zakrani, A Enaanai International Journal of Scientific Engineering and Technology 6 (6), 198-202, 2017 | 4 | 2017 |
| An enhanced support vector regression model for agile projects cost estimation A Najm, A Zakrani, A Marzak Int J Artif Intell 11 (1), 265-275, 2022 | 3 | 2022 |
| Software effort estimation using an optimal trees ensemble: An empirical comparative study A Zakrani, A Idri, M Hain Proceedings of the 8th International Conference on Sciences of Electronics …, 2020 | 3 | 2020 |
| Cluster-based fuzzy regression trees for software cost prediction A Najm, A Zakrani, A Marzak Indones. J. Electr. Eng. Comput. Sci. 27 (2), 1138-1150, 2022 | 2 | 2022 |
| Optimal Additive C-Fuzzy Regression Trees for Software Development Effort Prediction A Najm, A Zakrani, A Marzak 2022 8th International Conference on Optimization and Applications (ICOA), 1-6, 2022 | 1 | 2022 |
| Optainet-based technique for SVR feature selection and parameters optimization for software cost prediction A Najm, A Zakrani, A Marzak MATEC Web of Conferences 348, 01002, 2021 | 1 | 2021 |
| Comparing the performance of RBFN networks based software effort estimation models A Idri, WEL BOUKILI, A Zakrani Decision Making and Soft Computing: Proceedings of the 11th International …, 2014 | 1 | 2014 |
| Enhancing feature selection with a novel hybrid approach incorporating genetic algorithms and swarm intelligence techniques. S Benghazouani, S Nouh, A Zakrani, I Haloum, M Jebbar International Journal of Electrical & Computer Engineering (2088-8708) 14 (1), 2024 | | 2024 |
