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Zagane Mohammed
Zagane Mohammed
University Mustapha Stambouli of Mascara, Mascara, Algeria
Dirección de correo verificada de esi.dz
Título
Citado por
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Año
Deep Learning for Software Vulnerabilities Detection Using Code Metrics
M Zagane, MK Abdi, M Alenezi
IEEE Access 8, 74562 - 74570, 2020
662020
Evaluating and Comparing Size, Complexity and Coupling Metrics as Web Applications Vulnerabilities Predictors
M Zagane, K Abdi, Mustapha
International Journal of Information Technology and Computer Science(IJITCS …, 2019
162019
Efficient deep features learning for vulnerability detection using character n-gram embedding
M Alenezi, M Zagane, Y Javed
Jordanian Journal of Computers and Information Technology (JJCIT) 7 (01), 2021
112021
A Study of Para-K\"{a} hler-Norden Structures on Cotangent Bundle with The New Class of Metrics
A Zagane, Z Mohammed
Turkish Journal of Mathematics and Computer Science 13 (2), 338-347, 2021
42021
A New Approach to Locate Software Vulnerabilities Using Code Metrics
M Zagane, MK Abdi, M Alenezi
International Journal of Software Innovation 8 (3), 82-95, 2020
42020
Hybrid Representation to Locate Vulnerable Lines of Code
M Zagane, M Alenezi, MK Abdi
International Journal of Software Innovation (IJSI) 10 (1), 1-19, 2022
12022
g-Natural metric and harmonicity on the cotangent bundle
A Zagane, M Zagane
Communications of the Korean Mathematical Society 36 (1), 135-147, 2021
12021
Spiking neuron network for image segmentation
B Meftah, M Debakla, M Zaagane, A Benyettou, O Lezoray
Maghrebian Conference on Information Technologies, 13-17, 2008
12008
Enhancing Software Co-Change Prediction: Leveraging Hybrid Approaches for Improved Accuracy
M Zagane, M Alenezi
IEEE Access, 2024
2024
Apprentissage Profond pour la Détection du Code Source Vulnérable : Approche inspirée du domaine de TLN
M Zagane, A Zagane
1ère édition du Séminaire national Mathématiques et Informatique Appliquée …, 2022
2022
Automatic Feature Extraction Method for Software Vulnerability Prediction
M Zagane, MK Abdi, M Alenezi
1st National Conference on Applied Computing and Smart Technologies, 2021
2021
ÉVALUATION DES METRIQUES DE COUPLAGE EN TANT QU’INDICATEURS DE VULNÉRABILITÉS DANS LES APPLICATIONS WEB
M Zagane, MK Abdi
Communication science et technologie 17 (2), 22-39, 2019
2019
Quelques structures presque para-complexes Norden sur le fibré cotangent muni d’une nouvelle classe de métriques
A Zagane, M Zagane
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Artículos 1–13