Code smell severity detection using machine learning
S Hejres, M Hammad - 2021 - IET
Code smells are indications of design issues in software. The importance of early detection
of these indicators helps in improving the maintenance process and raising the efficiency of …
of these indicators helps in improving the maintenance process and raising the efficiency of …
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 …
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 …
[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 …
Tracing bad code smells behavior using machine learning with software metrics
The inappropriate symptoms in the code design pattern which are developed by the
developers at the software development phase are termed as bad code smells. Bad code …
developers at the software development phase are termed as bad code smells. Bad code …
[PDF][PDF] Class Level Code Smell Detection using Machine Learning Methods
R Spahić, K Karađuzović-Hadžiabdić - book of - smartlibrary.elayanan.info
Code smells are indicators of bad design choices but not necessarily proven to be bad
practices. Several commercial tools exist for detecting code smells, yet there are arguments …
practices. Several commercial tools exist for detecting code smells, yet there are arguments …
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 …
Improving performance with hybrid feature selection and ensemble machine learning techniques for code smell detection
S Jain, A Saha - Science of Computer Programming, 2021 - Elsevier
Maintaining large and complex software is a significant task in IT industry. One reason for
that is the development of code smells which are design flaws that lead to future bugs and …
that is the development of code smells which are design flaws that lead to future bugs and …
A hybrid approach to identify code smell using machine learning algorithms
Code smell aims to identify bugs that occurred during software development. It is the task of
identifying design problems. The significant causes of code smell are complexity in code …
identifying design problems. The significant causes of code smell are complexity in code …