Fedcsd: A federated learning based approach for code-smell detection
Software quality is critical, as low quality, or “Code smell,” increases technical debt and
maintenance costs. There is a timely need for a collaborative model that detects and …
maintenance costs. There is a timely need for a collaborative model that detects and …
Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model
Software defect prediction aims to find a reliable method for predicting defects in a particular
software project and assisting software engineers in allocating limited resources to release …
software project and assisting software engineers in allocating limited resources to release …
CBReT: A Cluster-Based Resampling Technique for dealing with imbalanced data in code smell prediction
Code smell refers to substandard design patterns in software's source code that may lead to
faults-prone implementation. Machine learning-based code smell prediction models suffer …
faults-prone implementation. Machine learning-based code smell prediction models suffer …
Improving accuracy of code smells detection using machine learning with data balancing techniques
NAA Khleel, K Nehéz - The Journal of Supercomputing, 2024 - Springer
Code smells indicate potential symptoms or problems in software due to inefficient design or
incomplete implementation. These problems can affect software quality in the long-term …
incomplete implementation. These problems can affect software quality in the long-term …
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 …
ReMAHA–CatBoost: Addressing Imbalanced Data in Traffic Accident Prediction Tasks
G Li, Y Wu, Y Bai, W Zhang - Applied Sciences, 2023 - mdpi.com
Featured Application ReMAHA–CatBoost is an advanced machine learning model designed
for predicting traffic accident severity. It is constructed in two parts: ReMAHA (relief–F-based …
for predicting traffic accident severity. It is constructed in two parts: ReMAHA (relief–F-based …
Indian Sign Language Interpretation using Skeletal Features and LSTM Networks
K Kankaria, A Samarth, P Rawoorkar… - … in Technology and …, 2024 - ieeexplore.ieee.org
Indian Sign Language (ISL) is a standardized and commonly used medium of
communication for the deaf and dumb community in India. Despite an enormous deaf and …
communication for the deaf and dumb community in India. Despite an enormous deaf and …
Data Preprocessing for Machine Learning Based Code Smell Detection: A Systematic Literature Review
FR Santos, R Choren - Available at SSRN 4756315 - papers.ssrn.com
Detecting code smells using machine learning presents inherent challenges due to the
unbalanced nature of the problem and susceptibility to interpretation biases. The objective of …
unbalanced nature of the problem and susceptibility to interpretation biases. The objective of …