Hamoud Aljamaan

According to our database, Hamoud Aljamaan authored at least 26 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Automated detection of class diagram smells using self-supervised learning.

Amal Alazba, Hamoud Aljamaan, Mohammad R. Alshayeb

Autom. Softw. Eng., June, 2024

CoRT: Transformer-based code representations with self-supervision by predicting reserved words for code smell detection.

Amal Alazba, Hamoud Aljamaan, Mohammad R. Alshayeb

Empir. Softw. Eng., May, 2024

Dynamic stacking ensemble for cross-language code smell detection.

Hamoud Aljamaan

PeerJ Comput. Sci., 2024

2023

An automated approach to aspect-based sentiment analysis of apps reviews using machine and deep learning.

Nouf Alturayeif, Hamoud Aljamaan, Jameleddine Hassine

Autom. Softw. Eng., November, 2023

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

Amal Alazba, Hamoud Aljamaan, Mohammad R. Alshayeb

Empir. Softw. Eng., June, 2023

Python code smells detection using conventional machine learning models.

Rana Sandouka, Hamoud Aljamaan

PeerJ Comput. Sci., 2023

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

Norah Alsunaidi, Sara Aljbali, Yasmin Yasin, Hamoud Aljamaan

Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering, 2023

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

Dorieh M. Alomari, Fatima M. Anis, Maryam Alabdullatif, Hamoud Aljamaan

Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering, 2023

2021

Umple: Model-driven development for open source and education.

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

Sci. Comput. Program., 2021

Code smell detection using feature selection and stacking ensemble: An empirical investigation.

Amal Alazba, Hamoud Aljamaan

Inf. Softw. Technol., 2021

Impact of Hyperparameter Tuning on Machine Learning Models in Stock Price Forecasting.

Kazi Ekramul Hoque, Hamoud Aljamaan

IEEE Access, 2021

AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for Requirements Elicitation.

Nouf Alturaief, Hamoud Aljamaan, Malak Baslyman

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Voting Heterogeneous Ensemble for Code Smell Detection.

Hamoud Aljamaan

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Software defect prediction using tree-based ensembles.

Hamoud Aljamaan, Amal Alazba

Proceedings of the PROMISE '20: 16th International Conference on Predictive Models and Data Analytics in Software Engineering, 2020

2015

Three empirical studies on predicting software maintainability using ensemble methods.

Mahmoud O. Elish, Hamoud Aljamaan, Irfan Ahmad

Soft Comput., 2015

Umple: A framework for Model Driven Development of Object-Oriented Systems.

Miguel Garzón, Hamoud Aljamaan, Timothy C. Lethbridge

Proceedings of the 22nd IEEE International Conference on Software Analysis, 2015

UmpleRun: a Dynamic Analysis Tool for Textually Modeled State Machines using Umple.

Hamoud Aljamaan, Timothy Lethbridge, Miguel Garzón, Andrew Forward

Proceedings of the 1st International Workshop on Executable Modeling co-located with ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS 2015), 2015

MOTL: a textual language for trace specification of state machines and associations.

Hamoud Aljamaan, Timothy C. Lethbridge, Miguel A. Garzón

Proceedings of 25th Annual International Conference on Computer Science and Software Engineering, 2015

2014

A Model-Driven Solution for Financial Data Representation Expressed in FIXML.

Vahdat Abdelzad, Hamoud Aljamaan, Opeyemi Adesina, Miguel Garzón, Timothy Lethbridge

Proceedings of the 7th Transformation Tool Contest part of the Software Technologies: Applications and Foundations (STAF 2014) federation of conferences, 2014

Enhanced Code Generation from UML Composite State Machines.

Omar Bahy Badreddin, Timothy C. Lethbridge, Andrew Forward, Maged Elaasar, Hamoud Aljamaan, Miguel Garzón

Proceedings of the MODELSWARD 2014 - Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development, Lisbon, Portugal, 7, 2014

Specifying Trace Directives for UML Attributes and State Machines.

Hamoud Aljamaan, Timothy C. Lethbridge, Omar Bahy Badreddin, Geoffrey Guest, Andrew Forward

Proceedings of the MODELSWARD 2014 - Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development, Lisbon, Portugal, 7, 2014

Reverse engineering of object-oriented code into Umple using an incremental and rule-based approach.

Miguel A. Garzón, Timothy C. Lethbridge, Hamoud Aljamaan, Omar Badreddin

Proceedings of 24th Annual International Conference on Computer Science and Software Engineering, 2014

2013

An Ensemble of Computational Intelligence Models for Software Maintenance Effort Prediction.

Hamoud Aljamaan, Mahmoud O. Elish, Irfan Ahmad

Proceedings of the Advances in Computational Intelligence, 2013

2012

Towards Tracing at the Model Level.

Hamoud Aljamaan, Timothy C. Lethbridge

Proceedings of the 19th Working Conference on Reverse Engineering, 2012

2009

SQL-Guard Design Pattern.

Ahmed A. Bahjat, Hamoud Aljamaan, Mohammad R. Alshayeb

Proceedings of the 18th International Conference on Software Engineering and Data Engineering (SEDE-2009), 2009

An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software.

Hamoud Aljamaan, Mahmoud O. Elish

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009