6 天前 - … evolution of code quality. We examine C code quality metrics and Java code smells
in … Johnston, “Toolkit for automatic collection and predictive modelling of software metrics,” …

6 天前 - … small number of code smells at once and evaluated using few performance metrics.
Methods: … code smells. We resort to feature selection to keep the attributes relevant to each …

6 天前 - … ratio of software metrics along with eleven types of bad smells … software having
less maintainability value is more intended towards design problems recognized as code smells…

14 天前 - … [43] used a metric-based design smell detection approach to detect bad code smells.
… -oriented metrics in code smell detection, using statistical properties of metrics from 74 …

25 天前 - … flaky tests and test smells. Over the last decades, the software engineering research
community … features, like source code vocabulary or a mixture of static and dynamic metrics. …

28 天前 - … As a typical code smell, feature envy occurs when a … code. As such, detecting and
avoiding feature envy is critical for … Notably, this paper utilizes five commonly used metrics to …

32 天前 - … , metrics-based, and rule-based. As a result, many of these approaches extend to the
application of machine learning classifiers in software code smell … open-source code smell …

33 天前 - … notion of code smells for software quality, we develop a concept of project smells for
benefits … We argue that these project smells are a complement to traditional project metrics …

35 天前 - … We validate the usefulness of VAR Check in detecting code smells in tabular and
DRL … of programs’ structure and presence of code smells in their performance. Additionally, we …

35 天前 - … algorithms and software metrics to detect code smells based on 74 software systems.
… have high potential in predicting the code smells, but imbalanced data caused varying …