[PDF][PDF] A Novel Approach for Code Smell Detection: An Empirical Study
M GUPTA - academia.edu
Code smells detection helps in improving understandability and maintainability of software
while reducing the chances of system failure. In this study, six machine learning algorithms …
while reducing the chances of system failure. In this study, six machine learning algorithms …
A novel approach for code smell detection: an empirical study
Code smells detection helps in improving understandability and maintainability of software
while reducing the chances of system failure. In this study, six machine learning algorithms …
while reducing the chances of system failure. In this study, six machine learning algorithms …
Code smell detection using ensemble machine learning algorithms
Code smells are the result of not following software engineering principles during software
development, especially in the design and coding phase. It leads to low maintainability. To …
development, especially in the design and coding phase. It leads to low maintainability. To …
Bad smell detection using machine learning techniques: a systematic literature review
Code smells are indicators of potential problems in software. They tend to have a negative
impact on software quality. Several studies use machine learning techniques to detect bad …
impact on software quality. Several studies use machine learning techniques to detect bad …
Predicting code smells and analysis of predictions: using machine learning techniques and software metrics
MY Mhawish, M Gupta - Journal of Computer Science and Technology, 2020 - Springer
Code smell detection is essential to improve software quality, enhancing software
maintainability, and decrease the risk of faults and failures in the software system. In this …
maintainability, and decrease the risk of faults and failures in the software system. In this …
SSHM: SMOTE-stacked hybrid model for improving severity classification of code smell
J Nanda, JK Chhabra - International Journal of Information Technology, 2022 - Springer
Code Smells are structural characteristics of software that indicate design problems that lead
to less maintainable code. It can be seen as symptom of underlying problems like defects …
to less maintainable code. It can be seen as symptom of underlying problems like defects …
[PDF][PDF] Generating code-smell prediction rules using decision tree algorithm and software metrics
MY Mhawish, M Gupta - Int. J. Comput. Sci. Eng, 2019 - researchgate.net
Accepted: 12/May/2019, Published: 31/May/2019 Abstract—Code smells identified by
Fowler [1] is as symptoms of possible code or design problems. Code smells have adverse …
Fowler [1] is as symptoms of possible code or design problems. Code smells have adverse …
Enhanced Machine Learning-Based Code Smell Detection Through Hyper-Parameter Optimization
P Sukkasem, C Soomlek - 2023 20th International Joint …, 2023 - ieeexplore.ieee.org
To preserve software quality and maintainability, machine learning-based code smell
detection has been proposed, and the results are promising. This research proposes an …
detection has been proposed, and the results are promising. This research proposes an …
A novel four-way approach designed with ensemble feature selection for code smell detection
Purpose: Code smells are residuals of technical debt induced by the developers. They
hinder evolution, adaptability and maintenance of the software. Meanwhile, they are very …
hinder evolution, adaptability and maintenance of the software. Meanwhile, they are very …
[HTML][HTML] Machine Learning-Based Methods for Code Smell Detection: A Survey
PS Yadav, RS Rao, A Mishra, M Gupta - Applied Sciences, 2024 - mdpi.com
Code smells are early warning signs of potential issues in software quality. Various
techniques are used in code smell detection, including the Bayesian approach, rule-based …
techniques are used in code smell detection, including the Bayesian approach, rule-based …