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 …
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 …
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 …
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 …
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 based on supervised learning models: A survey
Y Zhang, C Ge, H Liu, K Zheng - Neurocomputing, 2024 - Elsevier
Supervised learning-based code smell detection has become one of the dominant
approaches to identify code smell. Existing works optimize the process of code smell …
approaches to identify code smell. Existing works optimize the process of code smell …
A review on machine-learning based code smell detection techniques in object-oriented software system (s)
A Kaur, S Jain, S Goel, G Dhiman - Recent Advances in …, 2021 - ingentaconnect.com
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 …
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 …
Machine learning techniques for code smell detection: A systematic literature review and meta-analysis
Background: Code smells indicate suboptimal design or implementation choices in the
source code that often lead it to be more change-and fault-prone. Researchers defined …
source code that often lead it to be more change-and fault-prone. Researchers defined …
[PDF][PDF] Generating code-smell prediction rules using decision tree algorithm and software metrics
MY Mhawish, M Gupta - International Journal of Computer …, 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 …