Class-Level Refactoring Prediction by Ensemble Learning with Various Feature Selection Techniques

Class-Level Refactoring Prediction by Ensemble Learning with Various Feature Selection Techniques

<b>Background:</b> Refactoring is changing a software system without affecting the software functionality. The current researchers aim i to identify the appropriate method(s) or class(s) that needs to be refactored in object-oriented software. Ensemble learning helps to reduce prediction...

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Bibliographic Details
Main Authors: Rasmita Panigrahi, Sanjay Kumar Kuanar, Sanjay Misra, Lov Kumar
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
Software Refactoring prediction
software metrics
ensemble classifier
multi-phased feature extraction
Online Access:https://www.mdpi.com/2076-3417/12/23/12217

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https://www.mdpi.com/2076-3417/12/23/12217

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