Mohammad Azzeh

According to our database1, Mohammad Azzeh authored at least 39 papers between 2008 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects.
CoRR, 2019

Software Development Effort Estimation Using Regression Fuzzy Models.
Comp. Int. and Neurosc., 2019

Speech Recognition Using Deep Neural Networks: A Systematic Review.
IEEE Access, 2019

2018
Project productivity evaluation in early software effort estimation.
Journal of Software: Evolution and Process, 2018

Comparative analysis of soft computing techniques for predicting software effort based use case points.
IET Software, 2018

Machine Learning Classifications of Coronary Artery Disease.
CoRR, 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.
Journal of Software: Evolution and Process, 2017

A Comparative Study for Predicting Heart Diseases Using Data Mining Classification Methods.
CoRR, 2017

An Optimized Analogy-Based Project Effort Estimation.
CoRR, 2017

Learning best K analogies from data distribution for case-based software effort estimation.
CoRR, 2017

Dataset Quality Assessment: An extension for analogy based effort estimation.
CoRR, 2017

Robust Rank Aggregation method for Case-Base effort estimation.
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 Computing and Applications, 2016

Guest editorial: special issue on predictive analytics using machine learning.
Neural Computing and Applications, 2016

Pareto efficient multi-objective optimization for local tuning of analogy-based estimation.
Neural Computing and Applications, 2016

A hybrid model for estimating software project effort from Use Case Points.
Appl. Soft Comput., 2016

User Movement Prediction: The Contribution of Machine Learning Techniques.
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.
Journal of Systems and Software, 2015

Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics.
IET Software, 2015

A Comparison Between Decision Trees and Decision Tree Forest Models for Software Development Effort Estimation.
CoRR, 2015

Class Decomposition Using K-Means and Hierarchical Clustering.
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 Software, 2014

2013
Value of ranked voting methods for estimation by analogy.
IET Software, 2013

Fuzzy Model Tree for Early Effort Estimation.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012
A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation.
Empirical Software Engineering, 2012

A Treeboost Model for Software Effort Estimation Based on Use Case Points.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
Analogy-based software effort estimation using Fuzzy numbers.
Journal of Systems and Software, 2011

Software effort estimation based on optimized model tree.
Proceedings of the 7th International Conference on Predictive Models in Software Engineering, 2011

Adjusted Case-Based Software Effort Estimation Using Bees Optimization Algorithm.
Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

Model Tree Based Adaption Strategy for Software Effort Estimation by Analogy.
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

Fuzzy grey relational analysis for software effort estimation.
Empirical Software Engineering, 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
Software effort estimation based on weighted fuzzy grey relational analysis.
Proceedings of the 5th International Workshop on Predictive Models in Software Engineering, 2009

2008
Software Project Similarity Measurement Based on Fuzzy C-Means.
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


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