Ensemble Learning Applications in Software Fault Prediction
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0180-3_41
Reference29 articles.
1. Samantaray R, Das H (2023) Performance analysis of machine learning algorithms using bagging ensemble technique for software fault prediction. In: 2023 6th international conference on Information Systems and Computer Networks (ISCON), IEEE, pp 1–7
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3. Radjenović D, Heričko M, Torkar R, Živkovič A (2013) Software fault prediction metrics: a systematic literature review. Inf Softw Technol 55(8):1397–1418
4. Azzeh M, Elsheikh Y, Nassif AB, Angelis L (2023) Examining the performance of kernel methods for software defect prediction based on support vector machine. Sci Comput Program 226:102916
5. Rathi SC, Misra S, Colomo-Palacios R, Adarsh R, Neti LBM, Kumar L (2023) Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction. Expert Syst Appl 223:119806
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