On the Assessment of Interactive Detection of Code Smells in Practice: A Controlled Experiment [PDF]
Code smells are structures in a program that often indicate the presence of deeper maintainability problems. Code smells should be detected as soon as they are introduced, enabling refactoring actions with less effort and time. Non-Interactive Detection (
Danyllo Albuquerque +6 more
doaj +2 more sources
Python code smells detection using conventional machine learning models [PDF]
Code smells are poor code design or implementation that affect the code maintenance process and reduce the software quality. Therefore, code smell detection is important in software building.
Rana Sandouka, Hamoud Aljamaan
doaj +3 more sources
An Analytical Study of Code Smells
Software development process involves developing, building and enhancing high-quality software for specific tasks and as a consequence generates considerable amount of data.
Lida Bamizadeh +3 more
doaj +2 more sources
Empirical study of the relationship between design patterns and code smells. [PDF]
Software systems are often developed in such a way that good practices in the object-oriented paradigm are not met, causing the occurrence of specific disharmonies which are sometimes called code smells.
Mahmoud Alfadel +2 more
doaj +2 more sources
A Novel Metric based Detection of Temporary Field Code Smell and its Empirical Analysis
Code smell causes side effects in the source code and impact the code quality. It is beneficial to recognize code smells to improve software quality. Despite 22 classical code smells as characterized by Martin Fowler, all classical code smells have not ...
Ruchin Gupta, Sandeep Kumar Singh
doaj +2 more sources
Dynamic stacking ensemble for cross-language code smell detection [PDF]
Code smells refer to poor design and implementation choices by software engineers that might affect the overall software quality. Code smells detection using machine learning models has become a popular area to build effective models that are capable of ...
Hamoud Aljamaan
doaj +3 more sources
A study of dealing class imbalance problem with machine learning methods for code smell severity detection using PCA-based feature selection technique [PDF]
Detecting code smells may be highly helpful for reducing maintenance costs and raising source code quality. Code smells facilitate developers or researchers to understand several types of design flaws. Code smells with high severity can cause significant
Rajwant Singh Rao +3 more
doaj +2 more sources
Model level code smell detection using EGAPSO based on similarity measures
Software maintenance is an essential part of any software that finds its use in the day-to-day activities of any organization. During the maintenance phase bugs detected must be corrected and the software must evolve with respect to changing requirements
G. Saranya +3 more
doaj +2 more sources
Code smells analysis for android applications and a solution for less battery consumption [PDF]
In the digitization era, the battery consumption factor plays a vital role for the devices that operate Android software, expecting them to deliver high performance and good maintainability.The study aims to analyze the Android-specific code smells ...
Aakanshi Gupta +4 more
doaj +2 more sources
SmellyCode++: Multi-Label Dataset for Code Smell Detection [PDF]
Context: Code smells indicate poor software design, affecting maintainability. Accurate detection is vital for refactoring and quality improvement.
Nawaf Alomari +3 more
doaj +2 more sources

