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 …
The application of nature-inspired optimization algorithms on the modern management: A systematic literature review and bibliometric analysis
Y Zhou, W Xia, J Dai - Journal of Management & Organization, 2023 - cambridge.org
With the expanding adoption of technology and intelligent applications in every aspect of our
life, energy, resource, data, and product management are all improving. So, modern …
life, energy, resource, data, and product management are all improving. So, modern …
[HTML][HTML] Code smell detection using ensemble machine learning algorithms
Code smells are the result of not following software engineering principles during software
development, especially in the design and coding phase. It leads to low maintainability. To …
development, especially in the design and coding phase. It leads to low maintainability. To …
Impact of hyperparameter tuning on machine learning models in stock price forecasting
KE Hoque, H Aljamaan - IEEE Access, 2021 - ieeexplore.ieee.org
Stock price forecasting has been reported as a challenging task in the scientific and financial
communities due to stock prices' nonlinear and dynamic nature. Machine learning models …
communities due to stock prices' nonlinear and dynamic nature. Machine learning models …
SmS: SMOTE-stacked hybrid model for diagnosis of polycystic ovary syndrome using feature selection method
Polycystic Ovary syndrome (PCOS) is the most common serious health problem in women
worldwide. It affects the women's fertility and may lead to various health problems like type 2 …
worldwide. It affects the women's fertility and may lead to various health problems like type 2 …
[HTML][HTML] Python code smells detection using conventional machine learning models
R Sandouka, H Aljamaan - PeerJ Computer Science, 2023 - peerj.com
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 …
process and reduce the software quality. Therefore, code smell detection is important in …
[HTML][HTML] 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 …
[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 …