Hamoud Aljamaan
Hamoud Aljamaan
Assistant Professor, KFUPM
Verified email at - Homepage
Cited by
Cited by
Three empirical studies on predicting software maintainability using ensemble methods
MO Elish, H Aljamaan, I Ahmad
Soft Computing 19 (9), 2511-2524, 2015
An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software
HI Aljamaan, MO Elish
2009 IEEE Symposium on Computational Intelligence and Data Mining, 187-194, 2009
Enhanced Code Generation from UML Composite State Machines
O Badreddin, TC Lethbridge, A Forward, M Elaasar, H Aljamaan, ...
2nd International Conference on Model-Driven Engineering and Software …, 2014
Umple: A framework for model driven development of object-oriented systems
MA Garzón, H Aljamaan, TC Lethbridge
2015 ieee 22nd international conference on software analysis, evolution, and …, 2015
Bad smell detection using machine learning techniques: a systematic literature review
A Al-Shaaby, H Aljamaan, M Alshayeb
Arabian Journal for Science and Engineering 45 (4), 2341-2369, 2020
Reverse engineering of object-oriented code into Umple using an incremental and rule-based approach.
MA Garzón, TC Lethbridge, H Aljamaan, O Badreddin
CASCON 14, 91-105, 2014
Specifying Trace Directives for UML Attributes and State Machines
H Aljamaan, TC Lethbridge, O Badreddin, G Guest, A Forward
2nd International Conference on Model-Driven Engineering and Software …, 2014
An ensemble of computational intelligence models for software maintenance effort prediction
H Aljamaan, MO Elish, I Ahmad
International Work-Conference on Artificial Neural Networks, 592-603, 2013
Software defect prediction using tree-based ensembles
H Aljamaan, A Alazba
Proceedings of the 16th ACM International Conference on Predictive Models …, 2020
MOTL: a textual language for trace specification of state machines and associations
H Aljamaan, TC Lethbridge, MA Garzón
Proceedings of the 25th Annual International Conference on Computer Science …, 2015
Towards tracing at the model level
H Aljamaan, TC Lethbridge
2012 19th Working Conference on Reverse Engineering, 495-498, 2012
UmpleRun: a Dynamic Analysis Tool for Textually Modeled State Machines using Umple.
H Aljamaan, T Lethbridge, M Garzón, A Forward
EXE@ MoDELS, 16-20, 2015
Umple: Model-driven development for open source and education
TC Lethbridge, A Forward, O Badreddin, D Brestovansky, M Garzon, ...
Science of Computer Programming 208, 102665, 2021
Code smell detection using feature selection and stacking ensemble: An empirical investigation
A Alazba, H Aljamaan
Information and Software Technology, 106648, 2021
Model-Oriented Tracing Language: Producing Execution Traces from Tracepoints Injected into Code Generated from UML Models
HI Aljamaan
University of Ottawa, 2015
Impact of hyperparameter tuning on machine learning models in stock price forecasting
KE Hoque, H Aljamaan
IEEE Access 9, 163815-163830, 2021
Software Defect Prediction Using Stacking Generalization of Optimized Tree-Based Ensembles
A Alazba, H Aljamaan
Applied Sciences 12 (9), 4577, 2022
Voting Heterogeneous Ensemble for Code Smell Detection
H Aljamaan
2021 20th IEEE International Conference on Machine Learning and Applications …, 2021
AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for Requirements Elicitation
N Alturaief, H Aljamaan, M Baslyman
2021 36th IEEE/ACM International Conference on Automated Software …, 2021
A Model-Driven Solution for Financial Data Representation Expressed in FIXML.
V Abdelzad, H Aljamaan, O Adesina, M Garzón, T Lethbridge
TTC@ STAF, 65-70, 2014
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