… Further, different code smells, derived subjectively through iPlasma, are taken into … to
detect code smells on each of Random Forest, J48 and SVM machine learning algorithms. This …

… using machine learning techniques to offer an improved, context-specific detection. … to
identify code smells. Marinescu [17] presented a metric-based approach to detect smells with …

… In this research, there are three machine learning algorithms that detect the code smells
severity of four main code smells. Whereas, the importance of early detection of code smells …

… This section discusses the findings of our SLR on detecting code smells using machine
learning techniques. We summarize the results of 46 studies published between 01.01.2018 and …

… we provide a brief catalog of code smells in Table 4. We have selected the smells to include
in this … The method results in a set of detected smells by applying a chosen machine learning …

… machine learning approaches against heuristics for code … us leverage the power of transfer
learning – our study is the … from code understanding models can be transferred to code smell …

… In this paper, we investigate the use of machine learning-based approaches employing
ensemble learning in code smell detection. An empirical study is conducted to investigate to …

… when applying machine learning for code smell detection and … used learning-based
techniques for code smell identification. … regarding the smells addressed by each learning-based …

… study, six code smells are detected using a machine learning … Detecting code smells using
machine learning techniques: are … on machine learning classifiers for code smell detection. …

… , code smells, and violations of standard coding practices. Therefore, we investigate to what
extent code smells are present in the datasets of coding … of code smells in machine learning […