S Dewangan, RS Rao, A Mishra, M Gupta - IEEE Access, 2021 - ieeexplore.ieee.org
Code smells detection helps in improving understandability and maintainability of software while reducing the chances of system failure. In this study, six machine learning algorithms …
Code smells are indicators of potential problems in software. They tend to have a negative impact on software quality. Several studies use machine learning techniques to detect bad …
A Alazba, H Aljamaan - Information and Software Technology, 2021 - Elsevier
Context: Code smell detection is the process of identifying code pieces that are poorly designed and implemented. Recently more research has been directed towards machine …
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 …
Y Zhang, C Ge, H Liu, K Zheng - Neurocomputing, 2024 - Elsevier
Supervised learning-based code smell detection has become one of the dominant approaches to identify code smell. Existing works optimize the process of code smell …
A Kaur, S Jain, S Goel, G Dhiman - Recent Advances in …, 2021 - ingentaconnect.com
Background: Code smells are symptoms that something may be wrong in software systems that can cause complications in maintaining software quality. In literature, there exist many …
MY Mhawish, M Gupta - Int. J. Comput. Sci. Eng, 2019 - researchgate.net
Accepted: 12/May/2019, Published: 31/May/2019 Abstract—Code smells identified by Fowler [1] is as symptoms of possible code or design problems. Code smells have adverse …
Code smell detection can be very useful for minimizing maintenance costs and improving software quality. Code smells help developers/programmers, researchers to subjectively …
MI Azeem, F Palomba, L Shi, Q Wang - Information and Software …, 2019 - Elsevier
Background: Code smells indicate suboptimal design or implementation choices in the source code that often lead it to be more change-and fault-prone. Researchers defined …