Code smells in a source code shows the weakness of design or implementation. To detect
code smells, several detection tools have been developed. However, these tools generally …

Code smells are characteristics of the software that indicates a code or design problem
which can make software hard to understand, evolve, and maintain. There are several code …

(1) Background: Code smell is the most popular and reliable method for detecting potential
errors in code. In real-world circumstances, a single source code may have multiple code …

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 smell is an indicator of potential problems in a software design that have a negative
impact on readability and maintainability. Hence, detecting code smells in a timely and …

Code smells or bad smells are an accepted approach to identify design flaws in the source
code. Although it has been explored by researchers, the interpretation of programmers is …

We examine a machine learning approach for detecting common Class and Method level
code smells (Data Class and God Class, Feature Envy and Long Method). The focus of the …

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 …

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 …

Several approaches are proposed to detect code smells. A set of important approaches are
based on machine learning algorithms, which require the code smells have been labeled in …