An empirical study toward dealing with noise and class imbalance issues in software defect prediction

Research article (Soft Computing, 2021) · cited 46× · AI/ML
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An empirical study toward dealing with noise and class imbalance issues in software defect prediction

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An empirical study toward dealing with noise and class imbalance issues in software defect prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An empirical study toward dealing with noise and class imbalance issues in software defect prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-study-toward-dealing-with-noise-and-class-imbalance-issues-in-software-defect-prediction
MLA “An empirical study toward dealing with noise and class imbalance issues in software defect prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empirical-study-toward-dealing-with-noise-and-class-imbalance-issues-in-software-defect-prediction.
BibTeX @misc{4ortxyz_an-empirical-study-toward-dealing-with-noise-and-class-imbalance-issues-in-software-defect-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An empirical study toward dealing with noise and class imbalance issues in software defect prediction}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-study-toward-dealing-with-noise-and-class-imbalance-issues-in-software-defect-prediction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An empirical study toward dealing with noise and class imbalance issues in software defect prediction — https://4ort.xyz/entity/an-empirical-study-toward-dealing-with-noise-and-class-imbalance-issues-in-software-defect-prediction (retrieved 2026-05-24)

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