An empirical study for software change prediction using imbalanced data

Research article (Empirical Software Engineering, 2017) · cited 74× · AI/ML
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An empirical study for software change prediction using imbalanced data

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An empirical study for software change prediction using imbalanced data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An empirical study for software change prediction using imbalanced data. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-study-for-software-change-prediction-using-imbalanced-data
MLA “An empirical study for software change prediction using imbalanced data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empirical-study-for-software-change-prediction-using-imbalanced-data.
BibTeX @misc{4ortxyz_an-empirical-study-for-software-change-prediction-using-imbalanced-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An empirical study for software change prediction using imbalanced data}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-study-for-software-change-prediction-using-imbalanced-data}, 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 for software change prediction using imbalanced data — https://4ort.xyz/entity/an-empirical-study-for-software-change-prediction-using-imbalanced-data (retrieved 2026-05-24)

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