Code smell detection is critical for calculating system quality and identifying issues that
require more work and development. The technique of finding wrongly developed code …

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 …

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 …

Code smells frequently leads to the discovery of decreased code quality, drains on
application resources, or even critical security vulnerabilities embedded within the …

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 …

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 …

Detecting code smells using machine learning presents inherent challenges due to the
unbalanced nature of the problem and susceptibility to interpretation biases. The objective of …

Code Smell refers to the telltale signs of poor code design that leads to software quality
issues. Developers require specific methods to measure the complexity of Code Smells in …

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 …

Code smells can compromise software quality in the long term by inducing technical debt.
For this reason, many approaches aimed at identifying these design flaws have been …