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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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 → 31/12/25
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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Cross-Language Code Smell Detection via Transfer Learning
Sandouka, R. & Aljamaan, H., Sep 2025, In: Applied Sciences (Switzerland). 15, 17, 9293.Research output: Contribution to journal › Article › peer-review
Open Access -
Enhancing Python Code Smell Detection with Heterogeneous Ensembles
Sandouka, R. & Aljamaan, H., 1 Jul 2025, In: International Journal of Software Engineering and Knowledge Engineering. 35, 7, p. 963-986 24 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Enhancing Stock Price Forecasting with Deep Learning: Insights from the Saudi Stock Market
Baamer, R. & Aljamaan, H., 2025, (Accepted/In press) In: Computational Economics.Research output: Contribution to journal › Article › peer-review
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SmellyBot: An AI-Powered Software Bot for Code Smell Detection
Alazba, A., Aljamaan, H. & Alshayeb, M., Oct 2025, In: Software - Practice and Experience. 55, 10, p. 1726-1742 17 p.Research output: Contribution to journal › Article › peer-review
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SmellyCode++: Multi-Label Dataset for Code Smell Detection
Alomari, N., Alazba, A., Aljamaan, H. & Alshayeb, M., Dec 2025, In: Scientific data. 12, 1, 1207.Research output: Contribution to journal › Article › peer-review
Open Access