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  1. 1
    Training Parameters Setting for Baseline, Deep Learning, and Transformer Models on SATD Dataset.

    Training Parameters Setting for Baseline, Deep Learning, and Transformer Models on SATD Dataset. by Sajid Ullah (8299908)

    Published 2025
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  2. 2
    Detail of precision, recall, accuracy and F1 Score for pre-trained LSTM on Bug Dataset.

    Detail of precision, recall, accuracy and F1 Score for pre-trained LSTM on Bug Dataset. by Sajid Ullah (8299908)

    Published 2025
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  3. 3
    The image Illustrate distribution of different bug components.

    The image Illustrate distribution of different bug components. by Sajid Ullah (8299908)

    Published 2025
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  4. 4
    Detail of precision, recall, accuracy and F1 Score for pre-trained GRU on Bug Dataset.

    Detail of precision, recall, accuracy and F1 Score for pre-trained GRU on Bug Dataset. by Sajid Ullah (8299908)

    Published 2025
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  5. 5
    The image Illustrated the Confusion Matrix provides a detailed summary of the performance of a naïve Bayes model by presenting the counts of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN).

    The image Illustrated the Confusion Matrix provides a detailed summary of the performance of a naïve Bayes model by presenting the counts of true positives (TP), true negatives (TN... by Sajid Ullah (8299908)

    Published 2025
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  6. 6
    Detail of precision, recall, accuracy and F1 Score for pre-trained GPT-3 on Bug Dataset.

    Detail of precision, recall, accuracy and F1 Score for pre-trained GPT-3 on Bug Dataset. by Sajid Ullah (8299908)

    Published 2025
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  7. 7
    Class distribution of different types of technical debt.

    Class distribution of different types of technical debt. by Sajid Ullah (8299908)

    Published 2025
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  8. 8
    The image Illustrated Comparison of different models trained and evaluated on Bug Dataset.

    The image Illustrated Comparison of different models trained and evaluated on Bug Dataset. by Sajid Ullah (8299908)

    Published 2025
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  9. 9
    The image Illustrated the Confusion Matrix displays the quantities of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN) predicted by the BI-GRU.

    The image Illustrated the Confusion Matrix displays the quantities of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN) predicted by the BI-G... by Sajid Ullah (8299908)

    Published 2025
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  10. 10
    The image Illustrate Workflow for preparing the dataset for identifying and classifying SATD.

    The image Illustrate Workflow for preparing the dataset for identifying and classifying SATD. by Sajid Ullah (8299908)

    Published 2025
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  11. 11
    Detail of precision, recall, accuracy and F1 Score for pre-trained Naïve Bayes on Bug Dataset.

    Detail of precision, recall, accuracy and F1 Score for pre-trained Naïve Bayes on Bug Dataset. by Sajid Ullah (8299908)

    Published 2025
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  12. 12
    The image Illustrate Distribution of Self-Admitted Technical Debt’s types.

    The image Illustrate Distribution of Self-Admitted Technical Debt’s types. by Sajid Ullah (8299908)

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  13. 13
    Detail of precision, recall, accuracy, and F1 Score for Bi-GRU on SATD.

    Detail of precision, recall, accuracy, and F1 Score for Bi-GRU on SATD. by Sajid Ullah (8299908)

    Published 2025
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  14. 14
    Detail of precision, recall, accuracy, and F1 Score for GRU on SATD.

    Detail of precision, recall, accuracy, and F1 Score for GRU on SATD. by Sajid Ullah (8299908)

    Published 2025
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  15. 15
    The image Illustrated the Confusion Matrix displays the quantities of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN) predicted by the Pre-trained GRU.

    The image Illustrated the Confusion Matrix displays the quantities of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN) predicted by the Pre-... by Sajid Ullah (8299908)

    Published 2025
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  16. 16
    The image Illustrate Visualization of most common terms to understand stop words in short desc.

    The image Illustrate Visualization of most common terms to understand stop words in short desc. by Sajid Ullah (8299908)

    Published 2025
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  17. 17
    Detail of precision, recall, accuracy and F1 Score for GPT-3 on SATD.

    Detail of precision, recall, accuracy and F1 Score for GPT-3 on SATD. by Sajid Ullah (8299908)

    Published 2025
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  18. 18
    The image Illustrated the Confusion Matrix displays the quantities of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN) predicted by the Pre-trained LSTM.

    The image Illustrated the Confusion Matrix displays the quantities of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN) predicted by the Pre-... by Sajid Ullah (8299908)

    Published 2025
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  19. 19
    The image Illustrated Transfer learning process for Transformer Model.

    The image Illustrated Transfer learning process for Transformer Model. by Sajid Ullah (8299908)

    Published 2025
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  20. 20
    The image Illustrated the Confusion Matrix displays the quantities of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN) predicted by the pre-trained Naive Bayes model.

    The image Illustrated the Confusion Matrix displays the quantities of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN) predicted by the pre-... by Sajid Ullah (8299908)

    Published 2025
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