Enhancing class imbalance solutions: A projection-based fuzzy LS-TSVM approach
Class imbalance and noise present significant challenges in numerous real-world
classification tasks. The prevalence of an uneven distribution of samples typically results in a …
classification tasks. The prevalence of an uneven distribution of samples typically results in a …
Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets
Due to the quick advancement of computer technology, the relevance of information has
increased significantly for the banking sector. Protecting information security has …
increased significantly for the banking sector. Protecting information security has …
Prioritization of Software Bugs Using Entropy‐Based Measures
M Kumari, R Singh, VB Singh - Journal of Software: Evolution …, 2024 - Wiley Online Library
Open‐source software is evolved through the active participation of users. In general, a user
request for bug fixing, the addition of new features, and feature enhancements. Due to this …
request for bug fixing, the addition of new features, and feature enhancements. Due to this …
Graph Neural Network vs. Large Language Model: A Comparative Analysis for Bug Report Priority and Severity Prediction
A vast number of incoming bug reports demand effective methods to identify priority and
severity for bug triaging. With increased technological advancement, machine learning and …
severity for bug triaging. With increased technological advancement, machine learning and …
Multi-label classification and fuzzy similarity-based expert identification techniques for software bug assignment
RR Panda, NK Nagwani - International Journal of …, 2024 - inderscienceonline.com
In software development, a bug can occur due to multiple failures in software, and it may
require multiple developers to fix it. In machine learning approaches, the bugs are assigned …
require multiple developers to fix it. In machine learning approaches, the bugs are assigned …