Experience report: Evaluating the effectiveness of decision trees for detecting code smells

Research article (2015 IEEE 26th International Symposium on Software Reliability Engineering (ISSRE), 2015) · cited 76× · AI/ML
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Experience report: Evaluating the effectiveness of decision trees for detecting code smells

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Experience report: Evaluating the effectiveness of decision trees for detecting code smells is a scholarly article[1].

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  • Experience report: Evaluating the effectiveness of decision trees for detecting code smells's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Experience report: Evaluating the effectiveness of decision trees for detecting code smells. Retrieved May 24, 2026, from https://4ort.xyz/entity/experience-report-evaluating-the-effectiveness-of-decision-trees-for-detecting-code-smells
MLA “Experience report: Evaluating the effectiveness of decision trees for detecting code smells.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/experience-report-evaluating-the-effectiveness-of-decision-trees-for-detecting-code-smells.
BibTeX @misc{4ortxyz_experience-report-evaluating-the-effectiveness-of-decision-trees-for-detecting-code-smells_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Experience report: Evaluating the effectiveness of decision trees for detecting code smells}}, year = {2026}, url = {https://4ort.xyz/entity/experience-report-evaluating-the-effectiveness-of-decision-trees-for-detecting-code-smells}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Experience report: Evaluating the effectiveness of decision trees for detecting code smells — https://4ort.xyz/entity/experience-report-evaluating-the-effectiveness-of-decision-trees-for-detecting-code-smells (retrieved 2026-05-24)

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