Zaineb Sakhrawi

14 papers B 1C 3Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Ontology inference for data quality improvement: a support vector regression-based test effort estimation model.
Clust. Comput.
Zaineb Sakhrawi, Taher Labidi, Asma Sellami, Nadia Bouassida
2024 — conf
Automotive User Interface Based on LSTM-Grid Search Deep Learning Model for IoT Security Change Request Classification.
AINA (2)
Zaineb Sakhrawi, Taher Labidi, Asma Sellami, Nadia Bouassida
2024 J jnl
Test case selection and prioritization approach for automated regression testing using ontology and COSMIC measurement.
Autom. Softw. Eng.
Zaineb Sakhrawi, Taher Labidi
2023 J jnl
On the value of parameter tuning in stacking ensemble model for software regression test effort estimation.
J. Supercomput.
Taher Labidi, Zaineb Sakhrawi
2022 J jnl
On the use of OLS regression algorithm and Pearson correlation algorithm for improving the SLA establishment process in cloud computing.
Innov. Syst. Softw. Eng.
Taher Labidi, Zaineb Sakhrawi, Asma Sellami, Achraf Mtibaa, Nadia Bouassida
2022 C conf
Software Enhancement Effort Estimation using Stacking Ensemble Model within the Scrum Projects: A Proposed Web Interface.
ICSOFT
Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida
2022 J jnl
Software enhancement effort estimation using correlation-based feature selection and stacking ensemble method.
Clust. Comput.
Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida
2022 J jnl
Support vector regression for enhancement effort prediction of Scrum projects from COSMIC functional size.
Innov. Syst. Softw. Eng.
Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida
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
2021 J jnl
Software Enhancement Effort Prediction Using Machine-Learning Techniques: A Systematic Mapping Study.
SN Comput. Sci.
Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida
2020 C conf
An Improved Prediction of Software Enhancement Effort using Correlation-Based Feature Selection and M5P ML Algorithm.
AICCSA
Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida
2020 B conf
Investigating the Impact of Functional Size Measurement on Predicting Software Enhancement Effort Using Correlation-Based Feature Selection Algorithm and SVR Method.
ICSR
Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida
2019 — conf
An Ontology-Based Approach for Preventing Incompatibility Problems of Quality Requirements During Cloud SLA Establishment.
ICCCI (1)
Taher Labidi, Zaineb Sakhrawi, Asma Sellami, Achraf Mtibaa
2019 C conf
Requirements Change Requests Classification: An Ontology-Based Approach.
ISDA
Zaineb Sakhrawi, Asma Sellami, Nadia Bouassida
2023 — conf
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.
AISec
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2026 — preprint
CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.
arXiv
Matti Schulze, Thorsten Holz, Felix C. Freiling