Code Smells in Machine Learning Systems 2 Mar 2022·Jiri Gesi,SiQi Liu,Jiawei Li,Iftekhar Ahmed,Nachiappan Nagappan,David Lo,Eduardo Santana de Almeida,Pavneet Singh Kochhar,Lingfeng Bao· As Deep learning (DL)
Machine learningSoftware engineeringCode smells in software indicate poor design and implementation choices. Detecting and removing them is critical for sustainable software development. Machine learning (ML) can automate code smell detection. Most ML solutions train models from scratch on code smell ...
Several code smells detection tools have been developed providing different results, because smells can be subjectively interpreted and hence detected in different ways. Machine learning techniques have been used for different topics in software engineering, e.g., design pattern detection, code smell det...
Many techniques (i.e., machine learning, ensemble learning, and class imbalance problem) are presented in the literature to identify the severity of code smells. Each technique yields a unique set of outcomes. In this section, we have presented the related work by dividing it into three sub-...
[A flexible tool for the analysis of code smells] Code smells are a popular mechanism to identify structural design problems in software systems. In this repository, it's version a flexible tool to prioritize technical debt in the form of code smells. java maintenance code-quality technical-debt...
Code smells, also known as anti-patterns, are poor design or implementation choices that hinder program comprehensibility and maintainability. While severa
Many techniques (i.e., machine learning, ensemble learning, and class imbalance problem) are presented in the literature to identify the severity of code smells. Each technique yields a unique set of outcomes. In this section, we have presented the related work by dividing it into three sub-...
Unique rules to find Bugs, Vulnerabilities, Security Hotspots, and Code Smells in your PYTHON code All rules 346 Vulnerability43 Bug84 Security Hotspot47 Code Smell172 Quick Fix 32 Tags Impact Clean code attribute Functions and methods should only return expected values Bug The number and name...
[16] focus on detecting code smells and suggesting specific refactoring actions to improve code structure and readability. Other studies have focused on addressing specific code smells through targeted refactorings. For example, an automated extract method refactoring approach has been proposed to correct...
Recently more research has been directed towards machine learning-based approaches for code smells detection. Many classifiers have been explored in the literature, yet, finding an effective model to detect different code smells types has not yet been achieved. Objective: The main objective of this ...