… and the actual capabilities of machine learning techniques for code smell detection, in this
… containing instances of more than one type of smells, besides non smelly instances. Our …

… smell detection and whether there are points of … of code smells. Our goal is to provide an
overview and discuss the usage of machine learning approaches in the field of code smells. …

… code quality is quintessential to avoid issues in the long run. This paper proposes and
identifies a list of 22 machine learning-specific code smells … We pinpoint each smell with a …

… With respect to previous work, our approach is new, since we apply machine learning
techniques to predict code smell severity. According to our knowledge, this direction has not been …

… Code smell detection is essential to improve software quality, … code smell prediction approach
based on machine learning … used to explain the machine learning model’s predictions and …

… machine learning techniques. This paper provides the reader with an overview of machine
learning techniques and code smells … applying machine learning for code smells identication …

… prevalent code smells. Thus, we formulate the following research question: What are the most
prevalent code smells in Machine Learning code… of code smells in 74 Python ML projects. …

… code smells between our identified code smells and existing Python code smells we see
that newly identified code smells are more frequent compared to generic Python code smells. …

… , with 1986 manually validated code smell samples. We found that all … However, the lower
prevalence of code smells, ie, … of machine learning to the detection of these code smells can …

… of code smells and which learning model is best to detect the severity of code smells. To …
severity classification of code smells depending on several machine learning models such as …