Multi-Label Code Error Classification Using CodeT5 and ML-KNN

Programming is an essential skill in computer science and in a wide range of engineering-related disciplines. However, occurring errors, often referred to as "bugs" in code, can indeed be challenging to identify and rectify, both for students who are learning to program and for experienced...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.100805-100820
Hauptverfasser:	Amin, Md. Faizul Ibne, Shirafuji, Atsushi, Rahman, Md. Mostafizer, Watanobe, Yutaka
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Big Data Codes CodeT5 data analysis Education educational big data Error analysis error classification learning analytics Learning systems Machine learning ML-KNN multi-label classification programming learning Programming profession Software engineering Source coding Task analysis
Online-Zugang:	Volltext
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