A New Method for Software Defect Prediction Based on Optimized Machine Learning Techniques

Authors

  • SHAHO HASSEN Graduate School of Natural and Applied Sciences, Department of Computer Engineering, Atilim University, Ankara, Turkey
  • Prof. Dr. Ali YAZICI Department of Computer Engineering, Atilim University
  • Prof. Dr. Alok MISHRA Department of Computer Engineering, Atilim University, Ankara, Turkey

Keywords:

Neuro-Computing, LM-ANN, Local Minima

Abstract

This thesis aimed to develop a robust neuro-computing model for software defect prediction, utilizing the Levenberg Marquardt Neural Network (LM-ANN) with a novel improved genetic algorithm as a heuristic model. The goal was to achieve higher accuracy and overcome local minima and convergence issues

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Published

2023-07-24

Issue

Vol. 20 (2023): EJET

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

A New Method for Software Defect Prediction Based on Optimized Machine Learning Techniques. (2023). Zeta Repository, 20, 53-76. https://zetarepo.com/index.php/zr/article/view/2207