An Anti-Pattern Detection Technique Using Machine Learning to Improve Code Quality

Poor software design and coding tend the software programs to be buggy at a massive rate. To enhance the code quality this paper proposes an automatic anti-pattern detection technique, which identifies anti-patterns from source code using Machine Learning (ML) classifiers. Here, four anti-patterns are considered such as Blob, Feature Decomposition (FD), Swiss Army Knife (SAK) and Spaghetti Code (S...