Zaineb Sakhrawi

According to our database, Zaineb Sakhrawi authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Automotive User Interface Based on LSTM-Grid Search Deep Learning Model for IoT Security Change Request Classification.

Zaineb Sakhrawi, Taher Labidi, Asma Sellami, Nadia Bouassida

Proceedings of the Advanced Information Networking and Applications, 2024

2023

On the value of parameter tuning in stacking ensemble model for software regression test effort estimation.

Taher Labidi, Zaineb Sakhrawi

J. Supercomput., October, 2023

2022

Towards an Enhancement Effort Estimation Approach using Machine Learning Techniques. (Vers une approche d'estimation de l'effort d'amélioration en utilisant des techniques d'apprentissage automatique).

Zaineb Sakhrawi

PhD thesis, 2022

Support vector regression for enhancement effort prediction of Scrum projects from COSMIC functional size.

Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida

Innov. Syst. Softw. Eng., 2022

On the use of OLS regression algorithm and Pearson correlation algorithm for improving the SLA establishment process in cloud computing.

Taher Labidi, Zaineb Sakhrawi, Asma Sellami, Achraf Mtibaa, Nadia Bouassida

Innov. Syst. Softw. Eng., 2022

Software enhancement effort estimation using correlation-based feature selection and stacking ensemble method.

Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida

Clust. Comput., 2022

Software Enhancement Effort Estimation using Stacking Ensemble Model within the Scrum Projects: A Proposed Web Interface.

Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida

Proceedings of the 17th International Conference on Software Technologies, 2022

2021

Software Enhancement Effort Prediction Using Machine-Learning Techniques: A Systematic Mapping Study.

Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida

SN Comput. Sci., 2021

2020

Investigating the Impact of Functional Size Measurement on Predicting Software Enhancement Effort Using Correlation-Based Feature Selection Algorithm and SVR Method.

Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida

Proceedings of the Reuse in Emerging Software Engineering Practices, 2020

An Improved Prediction of Software Enhancement Effort using Correlation-Based Feature Selection and M5P ML Algorithm.

Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida

Proceedings of the 17th IEEE/ACS International Conference on Computer Systems and Applications, 2020

2019

Requirements Change Requests Classification: An Ontology-Based Approach.

Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida

Proceedings of the Intelligent Systems Design and Applications, 2019

An Ontology-Based Approach for Preventing Incompatibility Problems of Quality Requirements During Cloud SLA Establishment.

Taher Labidi, Zaineb Sakhrawi, Asma Sellami, Achraf Mtibaa

Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019