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Automatically identifying code features for software defect prediction: Using AST N-grams

Research article (Information and Software Technology, 2018) · cited 102× · AI/ML
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Automatically identifying code features for software defect prediction: Using AST N-grams

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Automatically identifying code features for software defect prediction: Using AST N-grams is a scholarly article[1].

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  • Automatically identifying code features for software defect prediction: Using AST N-grams's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Automatically identifying code features for software defect prediction: Using AST N-grams. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatically-identifying-code-features-for-software-defect-prediction-using-ast-n-grams
MLA “Automatically identifying code features for software defect prediction: Using AST N-grams.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatically-identifying-code-features-for-software-defect-prediction-using-ast-n-grams.
BibTeX @misc{4ortxyz_automatically-identifying-code-features-for-software-defect-prediction-using-ast-n-grams_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatically identifying code features for software defect prediction: Using AST N-grams}}, year = {2026}, url = {https://4ort.xyz/entity/automatically-identifying-code-features-for-software-defect-prediction-using-ast-n-grams}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatically identifying code features for software defect prediction: Using AST N-grams — https://4ort.xyz/entity/automatically-identifying-code-features-for-software-defect-prediction-using-ast-n-grams (retrieved 2026-05-24)

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