Hamoud Aljamaan

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Research interests

Machine Learning Code Smell Detection Software Defects Time Series Analysis

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1 Similar Profiles

1 Finished

Software Maintainability Prediction using Hybrid Data Mining Prediction Models
Aljamaan, H. & Ghouti, L.
1/02/18 → 31/12/18
Project: Research

13 Conference contribution
7 Article
2 Conference article
1 Review article

Arabic Cyberbullying Detection Using Machine Learning: State of the Art Survey
Alsunaidi, N., Aljbali, S., Yasin, Y. & Aljamaan, H., 14 Jun 2023, Proceedings of EASE 2023 - Evaluation and Assessment in Software Engineering. Association for Computing Machinery, p. 499-504 6 p. (ACM International Conference Proceeding Series).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
A Survey on Botnets Attack Detection Utilizing Machine and Deep Learning Models
Alomari, D., Anis, F., Alabdullatif, M. & Aljamaan, H., 14 Jun 2023, Proceedings of EASE 2023 - Evaluation and Assessment in Software Engineering. Association for Computing Machinery, p. 493-498 6 p. (ACM International Conference Proceeding Series).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Deep learning approaches for bad smell detection: a systematic literature review
Alazba, A., Aljamaan, H. & Alshayeb, M., May 2023, In: Empirical Software Engineering. 28, 3, 77.
Research output: Contribution to journal › Article › peer-review
Python code smells detection using conventional machine learning models
Sandouka, R. & Aljamaan, H., 2023, In: PeerJ Computer Science. 9, e1370.
Research output: Contribution to journal › Article › peer-review

Open Access
Software Defect Prediction Using Stacking Generalization of Optimized Tree-Based Ensembles
Alazba, A. & Aljamaan, H., 1 May 2022, In: Applied Sciences (Switzerland). 12, 9, 4577.
Research output: Contribution to journal › Article › peer-review

Open Access
7 Scopus citations

Hamoud Aljamaan

Personal profile

Research interests

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Collaborations and top research areas from the last five years

Dive into details

Software Maintainability Prediction using Hybrid Data Mining Prediction Models

Arabic Cyberbullying Detection Using Machine Learning: State of the Art Survey

A Survey on Botnets Attack Detection Utilizing Machine and Deep Learning Models

Deep learning approaches for bad smell detection: a systematic literature review

Python code smells detection using conventional machine learning models

Software Defect Prediction Using Stacking Generalization of Optimized Tree-Based Ensembles

Hamoud Aljamaan

Personal profile

Research interests

Fingerprint

Collaborations and top research areas from the last five years

Projects

Software Maintainability Prediction using Hybrid Data Mining Prediction Models

Research output

Arabic Cyberbullying Detection Using Machine Learning: State of the Art Survey

A Survey on Botnets Attack Detection Utilizing Machine and Deep Learning Models

Deep learning approaches for bad smell detection: a systematic literature review

Python code smells detection using conventional machine learning models

Software Defect Prediction Using Stacking Generalization of Optimized Tree-Based Ensembles