Code smells detection using artificial intelligence techniques: A business-driven systematic review
T Lewowski, L Madeyski - … in Information & Knowledge Management for …, 2022 - Springer
Context Code smells in the software systems are indications that usually correspond to
deeper problems that can negatively influence software quality characteristics. This review is …
deeper problems that can negatively influence software quality characteristics. This review is …
Exploring the intersection between software maintenance and machine learning—a systematic mapping study
While some areas of software engineering knowledge present great advances with respect
to the automation of processes, tools, and practices, areas such as software maintenance …
to the automation of processes, tools, and practices, areas such as software maintenance …
Code smell detection based on supervised learning models: A survey
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 …
approaches to identify code smell. Existing works optimize the process of code smell …
A hybrid approach to identify code smell using machine learning algorithms
Code smell aims to identify bugs that occurred during software development. It is the task of
identifying design problems. The significant causes of code smell are complexity in code …
identifying design problems. The significant causes of code smell are complexity in code …
[HTML][HTML] Machine Learning-Based Methods for Code Smell Detection: A Survey
PS Yadav, RS Rao, A Mishra, M Gupta - Applied Sciences, 2024 - mdpi.com
Code smells are early warning signs of potential issues in software quality. Various
techniques are used in code smell detection, including the Bayesian approach, rule-based …
techniques are used in code smell detection, including the Bayesian approach, rule-based …
An Evaluation of Multi-Label Classification Approaches for Method-Level Code Smells Detection
PS Yadav, RS Rao, A Mishra - IEEE Access, 2024 - ieeexplore.ieee.org
(1) Background: Code smell is the most popular and reliable method for detecting potential
errors in code. In real-world circumstances, a single source code may have multiple code …
errors in code. In real-world circumstances, a single source code may have multiple code …
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 …
To enhance the code quality this paper proposes an automatic anti-pattern detection …