Mohammad Azzeh
Orcid: 0000-0002-0323-6452
According to our database1,
Mohammad Azzeh
authored at least 62 papers
between 2008 and 2024.
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Bibliography
2024
Software Defect Prediction Using Non-Dominated Sorting Genetic Algorithm and k-Nearest Neighbour Classifier.
e Informatica Softw. Eng. J., 2024
2023
Examining the performance of kernel methods for software defect prediction based on support vector machine.
Sci. Comput. Program., March, 2023
Comput. Biol. Medicine, March, 2023
Inf. Softw. Technol., 2023
Proceedings of the 28th International Conference on Automation and Computing, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
2022
Sci. Comput. Program., 2022
Locally weighted regression with different kernel smoothers for software effort estimation.
Sci. Comput. Program., 2022
On obtaining a stable vote ranking methodology for implementing e-government strategies.
J. King Saud Univ. Comput. Inf. Sci., 2022
Adopting the Cybersecurity Concepts into Curriculum The Potential Effects on Students Cybersecurity Knowledge.
CoRR, 2022
Examining stability of machine learning methods for predicting dementia at early phases of the disease.
CoRR, 2022
Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review.
CoRR, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
2021
Empirical analysis on productivity prediction and locality for use case points method.
Softw. Qual. J., 2021
Sci. Comput. Program., 2021
Int. J. Comput. Commun. Control, 2021
Int. J. Autom. Comput., 2021
2020
Transformed <i>k</i>-nearest neighborhood output distance minimization for predicting the defect density of software projects.
J. Syst. Softw., 2020
2019
CoRR, 2019
Comput. Intell. Neurosci., 2019
IEEE Access, 2019
2018
J. Softw. Evol. Process., 2018
Comparative analysis of soft computing techniques for predicting software effort based use case points.
IET Softw., 2018
Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
2017
Analyzing the relationship between project productivity and environment factors in the use case points method.
J. Softw. Evol. Process., 2017
A Comparative Study for Predicting Heart Diseases Using Data Mining Classification Methods.
CoRR, 2017
Learning best K analogies from data distribution for case-based software effort estimation.
CoRR, 2017
CoRR, 2017
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
2016
Neural network models for software development effort estimation: a comparative study.
Neural Comput. Appl., 2016
Neural Comput. Appl., 2016
Pareto efficient multi-objective optimization for local tuning of analogy-based estimation.
Neural Comput. Appl., 2016
Appl. Soft Comput., 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
2015
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation.
J. Syst. Softw., 2015
Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics.
IET Softw., 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
An Application of Classification and Class Decomposition to Use Case Point Estimation Method.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
2014
Errata 'Value of ranked voting methods for estimation by analogy', IET Softw., 2013, 7, (4), pp 195-202.
IET Softw., 2014
2013
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
A comparison between decision trees and decision tree forest models for software development effort estimation.
Proceedings of the Third International Conference on Communications and Information Technology, 2013
2012
A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation.
Empir. Softw. Eng., 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
2011
Proceedings of the 7th International Conference on Predictive Models in Software Engineering, 2011
Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011
Proceedings of the 11th IEEE International Conference on Computer and Information Technology, 2011
2010
Analogy-based software project effort estimation : contributions to projects similarity measurement, attribute selection and attribute weighting algorithms for analogy-based effort estimation.
PhD thesis, 2010
Empir. Softw. Eng., 2010
Software Stage-Effort Estimation Based on Association Rule Mining and Fuzzy Set Theory.
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010
2009
Proceedings of the 5th International Workshop on Predictive Models in Software Engineering, 2009
2008
Improving analogy software effort estimation using fuzzy feature subset selection algorithm.
Proceedings of the 4th International Workshop on Predictor Models in Software Engineering, 2008
Proceedings of the Making Globally Distributed Software Development a Success Story, 2008
Adjusting Analogy Software Effort Estimation Based on Fuzzy Logic.
Proceedings of the ICSOFT 2008, 2008