Code smell severity classification using machine learning techniques-Reference-Cited by-同舟云学术

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Code smell severity classification using machine learning techniques

Published:2017-07 Issue: Volume:128 Page:43-58
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Arcelli Fontana Francesca,Zanoni Marco

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference42 articles.

1. Refactoring: Improving the Design of Existing Code;Fowler,1999

2. An experience report on using code smells detection tools;Fontana,2011

3. Automatic detection of bad smells in code: an experimental assessment;Fontana;J. Object Technol.,2012

4. Poster: filtering code smells detection results;Fontana,2015

5. Code smell detection: towards a machine learning-based approach;Fontana,2013

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1. Prescriptive procedure for manual code smell annotation;Science of Computer Programming;2024-12

2. Data preparation for Deep Learning based Code Smell Detection: A systematic literature review;Journal of Systems and Software;2024-10

3. Revisiting Code Smell Severity Prioritization using learning to rank techniques;Expert Systems with Applications;2024-09

4. Enhancing source code classification effectiveness via prompt learning incorporating knowledge features;Scientific Reports;2024-08-30

5. Machine Learning-Based Methods for Code Smell Detection: A Survey;Applied Sciences;2024-07-15

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