A Novel Approach for Enhancing Code Smell Detection Using Random Convolutional Kernel Transform by Mostefai Abdelkader, Mekour Mansour

Subjects: “…Code smell,Maintenance,Classification…”
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Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection by Ali Nizam, Ertugrul Islamoglu, Omer Kerem Adali, Musa Aydin

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Unsupervised Machine Learning for Effective Code Smell Detection: A Novel Method by Ruchin Gupta, Narendra Kumar, Sunil Kumar, Jitendra Kumar Seth

Subjects: “…code smell…”
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Smell-ML: A Machine Learning Framework for Detecting Rarely Studied Code Smells by Esraa Hamouda, Abeer El-Korany, Soha Makady

Subjects: “…Code smell detection…”
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Estimating Technical Debt Through Changes Related to Code Smells in the Evolution of Software Projects by Jessada Wiriyakul, Twittie Senivongse

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Enhancing Software Quality with AI: A Transformer-Based Approach for Code Smell Detection by Israr Ali, Syed Sajjad Hussain Rizvi, Syed Hasan Adil

Subjects: “…code smell detection…”
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An Empirical Evaluation of Ensemble Models for Python Code Smell Detection by Rajwant Singh Rao, Seema Dewangan, Alok Mishra

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A study for method-level code smells detection using machine learning algorithms by Rajwant Singh Rao, Seema Dewangan, Alok Mishra, Manjari Gupta

Subjects: “…Code smell detection…”
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Refactoring Android Source Code Smells From Android Applications by Muhammad Fawad, Ghulam Rasool, Muhammad Bilal Riaz

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A Novel Metric based Detection of Temporary Field Code Smell and its Empirical Analysis by Ruchin Gupta, Sandeep Kumar Singh

Subjects: “…Code smells…”
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Investigating the Role of Code Smells in Preventive Maintenance by Junaid Ali Reshi, Satwinder Singh

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An Approach Based on Sum Product Networks for Code Smells Detection by Mostefai Abdelkader

Subjects: “…code smells…”
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Selected Code-Quality Characteristics and Metrics for Internet of Things Systems by Matej Klima, Miroslav Bures, Karel Frajtak, Vaclav Rechtberger, Michal Trnka, Xavier Bellekens, Tomas Cerny, Bestoun S. Ahmed

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Global Trends and Empirical Metrics in the Evaluation of Code Smells and Technical Debt: A Bibliometric Study by Ronald Henry Diaz Arrieta, Byron Leoncio Diaz Monroy, Luis Javier Castillo Heredia, Alexandra Gabriela Valenzuela Cobos

Subjects: “…Code smells…”
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Interpretable Deep Learning for Efficient Code Smell Prioritization in Software Development by Maaeda M. Rashid, Mohd Hafeez Osman, Khaironi Yatim Sharif, Hazura Zulzalil

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