Code Smell is a set of information of a source code that indicates any serious problem in the
software. To detect the code smell prediction rule, we have applied a Decision tree …

Code smells combine software features that indicate a code or design-related problem that
can increase the difficulty of the software and make it complicated to recognize, develop …

Code smells are used to improve the quality of the software. Code smell detection detects
the code problems like long method, large class, lazy class, long parameter list, feature …

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 detection helps in improving understandability and maintainability of software
while reducing the chances of system failure. In this study, six machine learning algorithms …

Software developer always strives for quality of the software as it tends to be more robust
and easier to maintain. Code smells play as a hinder to the quality of the software as they …

Code smells are poor design and implementation choices that hinders the overall software
quality. Code smells detection using machine learning models has been an active research …

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 …

Python is an increasingly popular programming language used in various software projects
and domains. Code smells in Python significantly influences the maintainability …

Context Code smells in the software systems are indications that usually correspond to
deeper problems that can negatively influence software quality characteristics. This review is …