Projects per year
Personal profile
Research interests
Machine Learning
Code Smell Detection
Software Defects
Time Series Analysis
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Hamoud Aljamaan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Leveraging Transfer Learning for Code Smell Detection Across Different Programming Languages
Aljamaan, H. (PI) & Alshayeb, M. (CoI)
2/09/24 → 2/09/25
Project: Research
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Software Maintainability Prediction using Hybrid Data Mining Prediction Models
Aljamaan, H. (PI) & Ghouti, L. (CoI)
1/02/18 → 31/12/18
Project: Research
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Automated detection of class diagram smells using self-supervised learning
Alazba, A., Aljamaan, H. & Alshayeb, M., May 2024, In: Automated Software Engineering. 31, 1, 29.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
CoRT: Transformer-based code representations with self-supervision by predicting reserved words for code smell detection
Alazba, A., Aljamaan, H. & Alshayeb, M., May 2024, In: Empirical Software Engineering. 29, 3, 59.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Dynamic stacking ensemble for cross-language code smell detection
Aljamaan, H., 2024, In: PeerJ Computer Science. 10, e2254.Research output: Contribution to journal › Article › peer-review
Open Access -
MultiTagging: A Vulnerable Smart Contract Labeling and Evaluation Framework
Alsunaidi, S. J., Aljamaan, H. & Hammoudeh, M., Dec 2024, In: Electronics (Switzerland). 13, 23, 4616.Research output: Contribution to journal › Article › peer-review
Open Access -
An automated approach to aspect-based sentiment analysis of apps reviews using machine and deep learning
Alturayeif, N., Aljamaan, H. & Hassine, J., Nov 2023, In: Automated Software Engineering. 30, 2, 30.Research output: Contribution to journal › Article › peer-review
8 Scopus citations