Code smells violate software development principles that make the software more prone to
errors and changes. Researchers have developed code smell detectors using manual and …

Abstract Code Smell Detection (CSD) plays a crucial role in improving software quality and
maintainability. And Deep Learning (DL) techniques have emerged as a promising …

The evolution of Python requires accurate version identification to facilitate compatibility and
ongoing support. We extend previous work on deep learning models for Python version …

Python, recognized for its dynamic and adaptable nature, has found widespread application
in a myriad of projects. As the language evolves, determining the Python version employed …

Code smells are indicators of deeper problems in source code that affect the system
maintainability and evolution. Detecting code smells is crucial as a software maintenance …

Code smell represents the level of human interpretability in a software project, which
becomes increasingly challenging as modern-day software projects grow in complexity …

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 …