Optimized ensemble machine learning model for software bugs prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s11334-022-00506-x.pdf
Reference41 articles.
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3. Chen X, Zhang D, Zhao Y, Cui Z, Ni C (2019) Software defect number prediction: unsupervised vs. supervised methods. Inf Softw Technol 106:161–181
4. Phan H, Andreotti F, Cooray N, Chén OY, De Vos M (2018) Joint classification and prediction CNN framework for automatic sleep stage classification. IEEE Trans Biomed Eng 66(5):1285–1296
5. Chatterjee S, Maji B (2016) A new fuzzy rule-based algorithm for estimating software faults in early phase of development. Soft Comput 20(10):4023–4035
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