A Novel Metric based Detection of Temporary Field Code Smell and its Empirical Analysis

Author:

Gupta Ruchin,Kumar Singh Sandeep

Publisher

Elsevier BV

Subject

General Computer Science

Reference78 articles.

1. Software smell detection techniques: a systematic literature review;AbuHassan;J. Softw. Evol. Process,2020

2. Experience report: Evaluating the effectiveness of decision trees for detecting code smells;Amorim,2016

3. Code smell severity classification using machine learning techniques;Arcelli Fontana;Knowledge-Based Syst.,2017

4. Comparing and experimenting machine learning techniques for code smell detection;Arcelli Fontana;Empir. Softw. Eng.,2016

5. Machine learning techniques for code smell detection: a systematic literature review and meta-analysis;Azeem;Inf. Softw. Technol.,2019

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1. A Multivocal Mapping Study of MongoDB Smells;2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2024-03-12

2. Examining deep learning’s capability to spot code smells: a systematic literature review;Cluster Computing;2023-10-03

3. A Novel Transfer Learning Method for Code Smell Detection on Heterogeneous Data: A Feasibility Study;SN Computer Science;2023-09-28

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