… we proposed a code smell prediction approach based on machine learning techniques and
… further used to explain the machine learning model’s predictions and interpretability. The …

… and we extracted the prediction rules for each type of code smell according to its severity. On
… For example, LIME explains what happen to the predictions when we give variations of our …

… with the help of code smell are compared and analyzed … This section analyses the
effectiveness of code smell in predicting … The predictions obtained from the algorithms also help in …

… , since we apply machine learning techniques to predict code smell severity. According to …
1/4 predictions are wrong, most errors have an absolute value of 1 (considering 20 predictions, …

… We conclude that, when testing code smell prediction models on the revised dataset, we
noticed that performances are up to 90% less accurate in terms of F-Measure than those …

… This paper evaluates six types of machine learning algorithms to predict change-proneness
using code smells as predictors for … Machine learning algorithms make predictions based on …

… of machine learning techniques in the context of code smell detection. The open issues
emerged in this study … We identify a set of 15 primary studies that proposed code smell prediction …

… Finally, in this research study, a set of code smell prediction rules were extracted using … It
constructs several decision trees on the dataset, acquires different predictions from each of the …

… code metrics (as well as lexical similarity) and predictions [12], [… study in [12] suggested that
such statistical machine learning … in predicting the Brain Method code smell through both 15 …

… use a systematic literature review approach to review studies that use machine learning
techniques to detect code smells. … of machine learning algorithms, prediction accuracy, detected …