Cross-Language Code Smell Detection via Transfer Learning

Code smells are code structures that indicate a potential issue in code design or implementation. These issues could affect the processes of code testing and maintenance, and overall software quality. Therefore, it is important to detect code smells in the early stages of software development to enh...

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Veröffentlicht in:	Applied sciences Jg. 15; H. 17; S. 9293
Hauptverfasser:	Sandouka, Rana, Aljamaan, Hamoud
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.09.2025
Schlagworte:	Algorithms Classification code smell Datasets detection Knowledge Literature reviews machine learning Methods Programming languages Software engineering Software quality transfer learning Germany
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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