A novel modified undersampling (MUS) technique for software defect prediction

Author:

Lingden P.1,Alsadoon Abeer1ORCID,Prasad P.W.C.1,Alsadoon Omar Hisham2,Ali Rasha S.3,Nguyen Vinh Tran Quoc4

Affiliation:

1. School of Computing and MathematicsCharles Sturt University Sydney Australia

2. Department of Islamic SciencesAl Iraqia University Baghdad Iraq

3. Department of Computer Techniques EngineeringAL Nisour University College Baghdad Iraq

4. Faculty of Information Technology (USE)The University of Da Nang Da Nang Vietnam

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of Bio Inspired Based Hybrid Learning Model for Software Defect Prediction;SN Computer Science;2024-08-27

2. KCO: Balancing class distribution in just-in-time software defect prediction using kernel crossover oversampling;PLOS ONE;2024-04-11

3. A novel software defect prediction approach via weighted classification based on association rule mining;Engineering Applications of Artificial Intelligence;2024-03

4. On the Value of Code Embedding and Imbalanced Learning Approaches for Software Defect Prediction;Proceedings of the 12th International Symposium on Information and Communication Technology;2023-12-07

5. Performance Evaluation of various ML techniques for Software Fault Prediction using NASA dataset;2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA);2023-06-08

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