[Retracted] Software Systems Security Vulnerabilities Management by Exploring the Capabilities of Language Models Using NLP

Algorithm 1

Text classification using CNN.

	Input: security- and nonsecurity-related text with labeling
	Process:
(1)	Tokenization of text to create vocabulary:
	t = tf.keras.preprocessing.text
	Tokenizer (oov_token = “<UNK>”)
(2)	Conversion of text to sequence of words further to sequence of numeric IDs: train_sequences = t.texts_to_sequences (normalized training text)
(3)	Sentence length distribution visualization
(4)	Text sequence padding:
	tf.keras.preprocessing
	sequence.pad_sequences ()
(5)	FastText-based embedding matrix construction
(6)	Model architecture construction:
	tf.keras.models.Sequential ()
(7)	Training and validation
(8)	Model performance evaluation on test data
	Output:
	Accuracy: 71.89%
	Precision: 0.88
	Recall: 0.72
	F1-score: 0.77