Correlation-based modified long short-term memory network approach for software defect prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12530-022-09423-7.pdf
Reference53 articles.
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2. Arar ÖF, Ayan K (2015) Software defect prediction using cost-sensitive neural network. Appl Soft Comput 33:263–277. https://doi.org/10.1016/j.asoc.2015.04.045
3. Arora I, Saha A (2016) Comparison of back propagation training algorithms for software defect prediction,” in 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I). 51–58. https://doi.org/10.1109/IC3I.2016.7917934
4. Arora I, Saha A (2018) Software defect prediction: a comparison between artificial neural network and support vector machine. Adv Intell Syst Comput 562:51–61. https://doi.org/10.1007/978-981-10-4603-2_6
5. Askari MM, Bardsiri VK (2014) Software defect prediction using a high performance neural network. Int J Softw Eng Its Appl 8(12):177–188. https://doi.org/10.14257/ijseia.2014.8.12.17
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