… of software refactoring [5], code smells [6] and software metrics [… of various software
metrics used to identify code smells. … techniques in terms of their effects on software metrics. …

… and failures in the software system. In this paper, we proposed a code smell prediction
approach based on machine learning techniques and software metrics. The local interpretable …

… in source code. In any program, bad smell or code smell demonstrates the debilitate
architecture design of software that makes it rigid to maintain in the future. In this paper, static and …

… Abstract—Code quality aspects such as code smells and code quality metrics are widely …
the repositories, the code quality information such as code smells and metrics are not readily …

… smell, the metrics we propose to detect this smell, as well as our implementation of a
variability-aware code smell … Note that, while our tool already computes metrics for other smells, …

… This follows a long tradition of using software metrics to evaluate the quality of the design
including the detection of codesmells. The most widely-used metrics are the ones defined by …

… Metrics in bold are metrics we have defined for code smell detection. We think these metrics
capture useful features for smell … other metrics defined in the literature for software quality …

… The chosen code smells are God Class, Data Class, Feature Envy, and Long Method. …
software metrics and code smell prediction by defining the threshold values of software metrics …

… and detect code smells in Python programs and to explore the effects of Python smells on
software … A large group of code smells can be measured by software metrics to quantify their …

… between software metrics and code smells. In this process, machine learning algorithms,
Decision Tree (DT) and Random Forest (RF) were trained to predict the code smells, and their …