Code smells, also known as code bad smells, are" a surface indication that usually
corresponds to a deeper problem in the system"[12]. Introduced by Fowler in 1999 [11] …

Background: Defining code smell is not a trivial task. Their recognition tends to be highly
subjective. Nevertheless some code smells detection tools have been proposed. Other …

In recent years, many studies on detecting code smells in source code have published
datasets with limited characteristics, such as the ambiguity of code smell definitions leads to …

In software development, a code smell is some surface indication that possibly corresponds
to a deeper problem in the programme. Whether a piece of code has a code smell or not is …

We conducted a systematic literature review of the most recent studies to survey the existing
ML-based methods for code smell detection. A systematic search of well-established digital …

Code smells can be subjectively interpreted, the results provided by detectors are usually
different, the agreement in the results is scarce, and a benchmark for the comparison of …

Code smells are an indicator of poor design in software systems. Artificial intelligence
techniques have been applied in several ways to improve soft-ware quality in code smells …

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 …

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 …

Context A code smell indicates a poor implementation choice that often worsens software
quality. Thus, code smell detection is an elementary technique to identify refactoring …