Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection

Research article (2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2015) · cited 74× · AI/ML
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Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection

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Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-vulnerable-software-components-through-n-gram-analysis-and-statistical-feature-selection
MLA “Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-vulnerable-software-components-through-n-gram-analysis-and-statistical-feature-selection.
BibTeX @misc{4ortxyz_predicting-vulnerable-software-components-through-n-gram-analysis-and-statistical-feature-selection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-vulnerable-software-components-through-n-gram-analysis-and-statistical-feature-selection}, note = {Accessed: 2026-05-24}}
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