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2020 – today
- 2022
[c7]Sara Elmidaoui, Laila Cheikhi, Ali Idri, Alain Abran:
Towards a Taxonomy of Software Maintainability Predictors: A Detailed View. WorldCIST (3) 2022: 202-210- 2020
- [j2]Sara Elmidaoui, Laila Cheikhi, Ali Idri, Alain Abran:
Machine Learning Techniques for Software Maintainability Prediction: Accuracy Analysis. J. Comput. Sci. Technol. 35(5): 1147-1174 (2020) - [c6]Sara Elmidaoui, Laila Cheikhi, Ali Idri, Alain Abran:
Predicting Software Maintainability using Ensemble Techniques and Stacked Generalization. IWSM-Mensura 2020
2010 – 2019
- 2019
- [j1]Sara Elmidaoui, Laila Cheikhi, Ali Idri, Alain Abran:
Empirical Studies on Software Product Maintainability Prediction: A Systematic Mapping and Review. e Informatica Softw. Eng. J. 13(1): 141-202 (2019) - [c5]Sara Elmidaoui, Laila Cheikhi, Ali Idri:
The Impact of SMOTE and Grid Search on Maintainability Prediction Models. AICCSA 2019: 1-8 - [c4]Sara Elmidaoui, Laila Cheikhi, Ali Idri:
Towards a Taxonomy of Software Maintainability Predictors. WorldCIST (1) 2019: 823-832 - 2018
- [c3]Sara Elmidaoui, Laila Cheikhi, Ali Idri:
Accuracy Comparison of Empirical Studies on Software Product Maintainability Prediction. WorldCIST (2) 2018: 26-35 - 2017
- [c2]Sara Elmidaoui, Laila Cheikhi, Ali Idri:
Software product maintainability prediction: A survey of secondary studies. CoDIT 2017: 702-707 - 2016
- [c1]Sara Elmidaoui, Laila Cheikhi, Ali Idri:
A survey of empirical studies in software product maintainability prediction models. SITA 2016: 1-6
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