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ORCIDHamoud Aljamaan
Person information
- affiliation: King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
- affiliation (PhD): University of Ottawa, Canada
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2020 – today
- 2024
[j10]Amal Alazba
, Hamoud Aljamaan, Mohammad R. Alshayeb:
Automated detection of class diagram smells using self-supervised learning. Autom. Softw. Eng. 31(1): 29 (2024)- [j9]Amal Alazba, Hamoud Aljamaan, Mohammad R. Alshayeb:
CoRT: Transformer-based code representations with self-supervision by predicting reserved words for code smell detection. Empir. Softw. Eng. 29(3): 59 (2024) - [j8]Hamoud Aljamaan:
Dynamic stacking ensemble for cross-language code smell detection. PeerJ Comput. Sci. 10: e2254 (2024) - 2023
- [j7]Nouf Alturayeif, Hamoud Aljamaan, Jameleddine Hassine:
An automated approach to aspect-based sentiment analysis of apps reviews using machine and deep learning. Autom. Softw. Eng. 30(2): 30 (2023) - [j6]Amal Alazba, Hamoud Aljamaan, Mohammad R. Alshayeb:
Deep learning approaches for bad smell detection: a systematic literature review. Empir. Softw. Eng. 28(3): 77 (2023) - [j5]Rana Sandouka, Hamoud Aljamaan:
Python code smells detection using conventional machine learning models. PeerJ Comput. Sci. 9: e1370 (2023) - [c16]Dorieh M. Alomari, Fatima M. Anis, Maryam Alabdullatif, Hamoud Aljamaan:
A Survey on Botnets Attack Detection Utilizing Machine and Deep Learning Models. EASE 2023: 493-498 - [c15]Norah Alsunaidi, Sara Aljbali, Yasmin Yasin, Hamoud Aljamaan:
Arabic Cyberbullying Detection Using Machine Learning: State of the Art Survey. EASE 2023: 499-504 - 2021
- [j4]Kazi Ekramul Hoque, Hamoud Aljamaan:
Impact of Hyperparameter Tuning on Machine Learning Models in Stock Price Forecasting. IEEE Access 9: 163815-163830 (2021) - [j3]Amal Alazba, Hamoud Aljamaan:
Code smell detection using feature selection and stacking ensemble: An empirical investigation. Inf. Softw. Technol. 138: 106648 (2021) - [j2]Timothy C. Lethbridge, Andrew Forward, Omar Badreddin, Dusan Brestovansky, Miguel A. Garzón, Hamoud Aljamaan, Sultan Eid, Ahmed Husseini Orabi, Mahmoud Husseini Orabi, Vahdat Abdelzad, Opeyemi Adesina, Aliaa Alghamdi, Abdulaziz Algablan, Amid Zakariapour:
Umple: Model-driven development for open source and education. Sci. Comput. Program. 208: 102665 (2021) - [c14]Hamoud Aljamaan:
Voting Heterogeneous Ensemble for Code Smell Detection. ICMLA 2021: 897-902 - [c13]Nouf Alturaief, Hamoud Aljamaan, Malak Baslyman:
AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for Requirements Elicitation. ASE Workshops 2021: 211-218 - 2020
- [c12]Hamoud Aljamaan, Amal Alazba:
Software defect prediction using tree-based ensembles. PROMISE 2020: 1-10
2010 – 2019
- 2015
- [j1]Mahmoud O. Elish, Hamoud Aljamaan, Irfan Ahmad:
Three empirical studies on predicting software maintainability using ensemble methods. Soft Comput. 19(9): 2511-2524 (2015) - [c11]Hamoud Aljamaan, Timothy C. Lethbridge, Miguel A. Garzón:
MOTL: a textual language for trace specification of state machines and associations. CASCON 2015: 101-110 - [c10]Hamoud Aljamaan, Timothy Lethbridge, Miguel Garzón, Andrew Forward:
UmpleRun: a Dynamic Analysis Tool for Textually Modeled State Machines using Umple. EXE@MoDELS 2015: 16-20 - [c9]Miguel Garzón, Hamoud Aljamaan, Timothy C. Lethbridge:
Umple: A framework for Model Driven Development of Object-Oriented Systems. SANER 2015: 494-498 - 2014
- [c8]Miguel A. Garzón, Timothy C. Lethbridge, Hamoud Aljamaan, Omar Badreddin:
Reverse engineering of object-oriented code into Umple using an incremental and rule-based approach. CASCON 2014: 91-105 - [c7]Hamoud Aljamaan, Timothy C. Lethbridge, Omar Bahy Badreddin, Geoffrey Guest, Andrew Forward:
Specifying Trace Directives for UML Attributes and State Machines. MODELSWARD 2014: 79-86 - [c6]Omar Bahy Badreddin, Timothy C. Lethbridge, Andrew Forward, Maged Elaasar, Hamoud Aljamaan, Miguel Garzón:
Enhanced Code Generation from UML Composite State Machines. MODELSWARD 2014: 235-245 - [c5]Vahdat Abdelzad, Hamoud Aljamaan, Opeyemi Adesina, Miguel Garzón, Timothy Lethbridge:
A Model-Driven Solution for Financial Data Representation Expressed in FIXML. TTC@STAF 2014: 65-70 - 2013
- [c4]Hamoud Aljamaan, Mahmoud O. Elish, Irfan Ahmad:
An Ensemble of Computational Intelligence Models for Software Maintenance Effort Prediction. IWANN (1) 2013: 592-603 - 2012
- [c3]Hamoud Aljamaan, Timothy C. Lethbridge:
Towards Tracing at the Model Level. WCRE 2012: 495-498
2000 – 2009
- 2009
- [c2]Hamoud Aljamaan, Mahmoud O. Elish:
An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software. CIDM 2009: 187-194 - [c1]Ahmed A. Bahjat, Hamoud Aljamaan, Mohammad R. Alshayeb:
SQL-Guard Design Pattern. SEDE 2009: 144-148
Coauthor Index
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