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Code smell detection using feature selection and stacking ensemble: An empirical investigation

Research article (Information and Software Technology, 2021) · cited 81× · AI/ML
academia openalex:W3170550652
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Code smell detection using feature selection and stacking ensemble: An empirical investigation

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Code smell detection using feature selection and stacking ensemble: An empirical investigation is a scholarly article[1].

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  • Code smell detection using feature selection and stacking ensemble: An empirical investigation's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Code smell detection using feature selection and stacking ensemble: An empirical investigation. Retrieved May 24, 2026, from https://4ort.xyz/entity/code-smell-detection-using-feature-selection-and-stacking-ensemble-an-empirical-investigation
MLA “Code smell detection using feature selection and stacking ensemble: An empirical investigation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/code-smell-detection-using-feature-selection-and-stacking-ensemble-an-empirical-investigation.
BibTeX @misc{4ortxyz_code-smell-detection-using-feature-selection-and-stacking-ensemble-an-empirical-investigation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Code smell detection using feature selection and stacking ensemble: An empirical investigation}}, year = {2026}, url = {https://4ort.xyz/entity/code-smell-detection-using-feature-selection-and-stacking-ensemble-an-empirical-investigation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Code smell detection using feature selection and stacking ensemble: An empirical investigation — https://4ort.xyz/entity/code-smell-detection-using-feature-selection-and-stacking-ensemble-an-empirical-investigation (retrieved 2026-05-24)

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