Software defect prediction using tree-based ensembles H Aljamaan, A Alazba Proceedings of the 16th ACM international conference on predictive models …, 2020 | 84 | 2020 |
Code smell detection using feature selection and stacking ensemble: An empirical investigation A Alazba, H Aljamaan Information and Software Technology 138, 106648, 2021 | 58 | 2021 |
Software defect prediction using stacking generalization of optimized tree-based ensembles A Alazba, H Aljamaan Applied Sciences 12 (9), 4577, 2022 | 31 | 2022 |
RabbitRun: an immersive virtual reality game for promoting physical activities among people with low back pain A Alazba, H Al-Khalifa, H AlSobayel Technologies 7 (1), 2, 2018 | 19 | 2018 |
Deep learning approaches for bad smell detection: a systematic literature review A Alazba, H Aljamaan, M Alshayeb Empirical Software Engineering 28 (3), 77, 2023 | 16 | 2023 |
A proposed game for promoting physical activities among people with low back pain using virtual reality A Alazba, H Al-Khalifa, H AlSobayel Proceedings of the 11th PErvasive Technologies Related to Assistive …, 2018 | 6 | 2018 |
CoRT: transformer-based code representations with self-supervision by predicting reserved words for code smell detection A Alazba, H Aljamaan, M Alshayeb Empirical Software Engineering 29 (3), 59, 2024 | 3 | 2024 |
Saudi Stock Market Sentiment Analysis using Twitter Data. A Alazba, NS Alturayeif, N Alturaief, Z Alhathloul KDIR, 36-47, 2020 | 3 | 2020 |
Automated detection of class diagram smells using self-supervised learning A Alazba, H Aljamaan, M Alshayeb Automated Software Engineering 31 (1), 29, 2024 | 2 | 2024 |
Detection of Research Trends using Dynamic Topic Modeling A Alazba, L Abouhagar, R Al-Harbi, HA Al-Jamimi, A Sultan, RA Al-Zaidy 2022 7th International Conference on Data Science and Machine Learning …, 2022 | 2 | 2022 |