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 …
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 …
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 …
A review on machine-learning based code smell detection techniques in object-oriented software system (s)
Background: Code smells are symptoms that something may be wrong in software systems
that can cause complications in maintaining software quality. In literature, there exist many …
that can cause complications in maintaining software quality. In literature, there exist many …
Python code smells detection using conventional machine learning models
R Sandouka, H Aljamaan - PeerJ Computer Science, 2023 - peerj.com
Code smells are poor code design or implementation that affect the code maintenance
process and reduce the software quality. Therefore, code smell detection is important in …
process and reduce the software quality. Therefore, code smell detection is important in …
Code smell detection using feature selection and stacking ensemble: An empirical investigation
A Alazba, H Aljamaan - Information and Software Technology, 2021 - Elsevier
Context: Code smell detection is the process of identifying code pieces that are poorly
designed and implemented. Recently more research has been directed towards machine …
designed and implemented. Recently more research has been directed towards machine …
Severity classification of code smells using machine-learning methods
Code smell detection can be very useful for minimizing maintenance costs and improving
software quality. Code smells help developers/programmers, researchers to subjectively …
software quality. Code smells help developers/programmers, researchers to subjectively …