… usefulness of static analysis warnings for machine learning-based code smell detection. We
… the predictions made by machine learning models built using the warnings of different static …

… The machine learning based code smell detection outperformed the tuning machine method
in the prediction of long method, long parameter list, long scope chaining, and large class. …

… of features related to smelly and non-smelly predictions. We … We build machine learning
models integrating developer … process metrics to predict the severity of code smells, as they …

… machine learning approaches for detecting the code smells. … predict those bad smells, seven
machine learning algorithms … All the different dataset predictions from the binary classifiers …

… To train classifier we use random forest machine learning technique. previous studies showed
that … , training and testing data, constructing models and for evaluation of final predictions. …

… can be calibrated using machine learning techniques to offer … and reading techniques to
identify code smells. Marinescu [17] … The skewed data can have a negative effect on predictive …

… code metrics into binary predictions, ie, smelly or non-smelly [… items generated for m is
predicted as positive, we suggest to … Detecting code smells using machine learning techniques: …

… we explore a deep learning approach to predict changes that … Therefore, when applying
LSTM for design smell predictions … Medvidovic analyzed what happens due to the code smell of …

… Support Vector Machine: SVM is a machine learning technique that tries to maximize …
prediction capability of a model. To assess LBS’ contribution, we have carried out predictions using …

… code smell type, such rules are extracted from instances of maintainability smells by using
Machine Learning techniques… model prediction as to the existence of the code smell analyzed. …