Research Article
[Retracted] Software Systems Security Vulnerabilities Management by Exploring the Capabilities of Language Models Using NLP
Algorithm 6
DistilBERT for tokenization.
| Input: security- and nonsecurity-related text with labeling | | Process: Except for distilBERT tokenizer being used rest of the steps are same as Algorithm 5 | | tokenizer = transformers.DistilBertTokenizer | | from_pretrained(‘distilbert-base-uncased’) | | Output: | | Accuracy: 94.77% | | Precision: 0.95 | | Recall: 0.95 | | F1-score: 0.94 |
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