… techniques applications to detect the code smells. This … code smell datasets to detect the
code smells. In the literature, different tools and techniques are proposed to detect code smells. …

… -the-art approaches. RQ3: How does our ADIPE approach perform to detect code smells
and/or … to a baseline PDT approach (eg, NS-PDT)? It is important to know how far our proposed …

… identification of code smells Since different AI-based approaches were used for the identification
process of code … -based approaches, (2) unsupervised learning-based approaches, and …

… used for code smells detection and visualization. We confirm that the detection of code smells
is a … with the definition and detection of code smells; increasing the diversity of detected …

… Design and Results: The work Compares four varied approaches to detect code smells using
four performance … Sahraoui, ‘‘A Bayesian approach for the detection of code and design …

… of supervised learning techniques are used to detect code smells. In this paper, the existing
… detect code smells to comparing and experimenting with ML algorithms to detect code smells…

… In fact, our SLR reviews code and design smells while taking into account the smell
detection mechanisms. These mechanisms are analyzed from an empirical viewpoint. …

… possibly be useful for detecting code smells in the first place or even filtering the results of
currently available detectors, so that … A bayesian approach for the detection of code and design …

… code smells have been the focus of research in the literature, this paper focuses on detecting
design smells… a novel approach for the identification and detection of design smells using a …

… , in this paper, the code smells detection problem as an … -pattern Detection and Identification
using Oblique Decision tree Evolution) as a new method to detect and/or identify code smells…