An empirical study on the effectiveness of large language models for SATD identification and classification

Research article (Empirical Software Engineering, 2024) · cited 22× · AI/ML
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An empirical study on the effectiveness of large language models for SATD identification and classification

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An empirical study on the effectiveness of large language models for SATD identification and classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An empirical study on the effectiveness of large language models for SATD identification and classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-study-on-the-effectiveness-of-large-language-models-for-satd-identification-and-classification
MLA “An empirical study on the effectiveness of large language models for SATD identification and classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empirical-study-on-the-effectiveness-of-large-language-models-for-satd-identification-and-classification.
BibTeX @misc{4ortxyz_an-empirical-study-on-the-effectiveness-of-large-language-models-for-satd-identification-and-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An empirical study on the effectiveness of large language models for SATD identification and classification}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-study-on-the-effectiveness-of-large-language-models-for-satd-identification-and-classification}, 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 on the effectiveness of large language models for SATD identification and classification — https://4ort.xyz/entity/an-empirical-study-on-the-effectiveness-of-large-language-models-for-satd-identification-and-classification (retrieved 2026-05-24)

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