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    In-depth exploration of software defects and self-admitted technical debt through cutting-edge deep learning techniques. by Sajid Ullah, M Irfan Uddin, Muhammad Adnan, Ala Abdulsalam Alarood, Abdulkream Alsulami, Safa Habibullah

    Published 2025-01-01
    “…The methodology comprises data analysis, preprocessing, and model training utilising deep learning architectures such as LSTM, BI-LSTM, GRU, and BI-GRU, with Transformer models like BERT and GPT-3, in conjunction with machine learning methods. The performance evaluation criteria, such as precision, recall, accuracy, and F1 score, illustrate the efficacy of the suggested method. …”
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  5. 7945

    Topic modeling-based prediction of software defects and root cause using BERTopic, and multioutput classifier by Devi Priya Gottumukkala, Prasad Reddy P.V.G.D, S. Krishna Rao

    Published 2025-07-01
    “…Abstract The occurrence of software defects remains a major obstacle in software engineering, resulting in costly debugging and maintenance efforts. …”
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