Is deep learning good enough for software defect prediction?
Author:
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s11334-023-00542-1.pdf
Reference55 articles.
1. Arena P, Basile A, Bucolo M, Fortuna L (2003) Image processing for medical diagnosis using CNN. Nucl Instrum Methods Phys Res Sect A Accel Spectrom Detect Assoc Equip 497(1):174–178
2. Catal C, Sevim U, Diri B (2011) Practical development of an eclipse-based software fault prediction tool using naive bayes algorithm. Expert Syst Appl 38(3):2347–2353
3. Chawla NV, Bowyer KW, Hall LO, Kegelmeyer WP (2002) Smote: synthetic minority over-sampling technique. J Artif Intell Res 16:321–357
4. Cliff N (2014) Ordinal methods for behavioral data analysis. Psychology Press, London
5. Deng J, Lu L, Qiu S (2020) Software defect prediction via lstm. IET Software 14(4):443–450
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1. Using sum product networks to predict defects in software systems;International Journal of Information Technology;2024-07-18
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