Examining deep learning's capability to spot code smells: a systematic literature review
Code smells violate software development principles that make the software more prone to
errors and changes. Researchers have developed code smell detectors using manual and …
errors and changes. Researchers have developed code smell detectors using manual and …
A survey on machine learning techniques for source code analysis
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
DeleSmell: Code smell detection based on deep learning and latent semantic analysis
Y Zhang, C Ge, S Hong, R Tian, C Dong… - Knowledge-Based Systems, 2022 - Elsevier
The presence of code smells will increase the risk of failure, make software difficult to
maintain, and introduce potential technique debt in the future. Although many deep-learning …
maintain, and introduce potential technique debt in the future. Although many deep-learning …
A study of dealing class imbalance problem with machine learning methods for code smell severity detection using PCA-based feature selection technique
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 …
source code quality. Code smells facilitate developers or researchers to understand several …
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 …
[HTML][HTML] A survey on machine learning techniques applied to source code
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
On the relative value of imbalanced learning for code smell detection
Machine learning‐based code smell detection (CSD) has been demonstrated to be a
valuable approach for improving software quality and enabling developers to identify …
valuable approach for improving software quality and enabling developers to identify …
Automatic detection of code smells using metrics and CodeT5 embeddings: a case study in C#
Code smells are poorly designed code structures indicating that the code may need to be
refactored. Recognizing code smells in practice is complex, and researchers strive to …
refactored. Recognizing code smells in practice is complex, and researchers strive to …
Small-scale aircraft detection in remote sensing images based on Faster-RCNN
Y Zhang, C Song, D Zhang - Multimedia Tools and Applications, 2022 - Springer
Detecting aircraft in remote sensing images becomes increasingly important in both military
and civilian fields. However, the accuracy of existing detection approach is not high enough …
and civilian fields. However, the accuracy of existing detection approach is not high enough …
The Use of AI in Software Engineering: A Synthetic Knowledge Synthesis of the Recent Research Literature
P Kokol - Information, 2024 - mdpi.com
Artificial intelligence (AI) has witnessed an exponential increase in use in various
applications. Recently, the academic community started to research and inject new AI-based …
applications. Recently, the academic community started to research and inject new AI-based …