Software defect prediction ensemble learning algorithm based on adaptive variable sparrow search algorithm
Y Tang, Q Dai, M Yang, T Du, L Chen - International Journal of Machine …, 2023 - Springer
Software defect prediction has caused widespread concern among software engineering
researchers, which aims to erect a software defect prediction model according to historical …
researchers, which aims to erect a software defect prediction model according to historical …
A study on ML-based software defect detection for security traceability in smart healthcare applications
S Mcmurray, AH Sodhro - Sensors, 2023 - mdpi.com
Software Defect Prediction (SDP) is an integral aspect of the Software Development Life-
Cycle (SDLC). As the prevalence of software systems increases and becomes more …
Cycle (SDLC). As the prevalence of software systems increases and becomes more …
An empirical study toward dealing with noise and class imbalance issues in software defect prediction
The quality of the defect datasets is a critical issue in the domain of software defect
prediction (SDP). These datasets are obtained through the mining of software repositories …
prediction (SDP). These datasets are obtained through the mining of software repositories …
Software fault prediction for imbalanced data: a survey on recent developments
S Pandey, K Kumar - Procedia Computer Science, 2023 - Elsevier
The method of recognizing faults in a software system is acknowledged as software fault
prediction. Software faults predicted in prior stages help in the management of resources …
prediction. Software faults predicted in prior stages help in the management of resources …
SSCT-Net: A semisupervised circular teacher network for defect detection with limited labeled multiview MFL samples
X Shen, J Liu, J Sun, L Jiang, H Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Deep learning methods have demonstrated promising performance in magnetic flux leakage
(MFL) defect detection under adequate amounts of labeled samples. However, in industrial …
(MFL) defect detection under adequate amounts of labeled samples. However, in industrial …
Multi-granularity detector for vulnerability fixes
With the increasing reliance on Open Source Software, users are exposed to third-party
library vulnerabilities. Software Composition Analysis (SCA) tools have been created to alert …
library vulnerabilities. Software Composition Analysis (SCA) tools have been created to alert …
[PDF][PDF] RETRACTED: PSCNN: PatchShuffle Convolutional Neural Network for COVID-19 Explainable Diagnosis
SH Wang, Z Zhu, YD Zhang - Frontiers in public health, 2021 - frontiersin.org
Objective: COVID-19 is a sort of infectious disease caused by a new strain of coronavirus.
This study aims to develop a more accurate COVID-19 diagnosis system. Methods: First, the …
This study aims to develop a more accurate COVID-19 diagnosis system. Methods: First, the …
[HTML][HTML] Cross-project software defect prediction based on the reduction and hybridization of software metrics
Cross-project defect prediction (CPDP) plays an essential role in identifying potential defects
in target projects, especially those with limited historical data, using relevant information …
in target projects, especially those with limited historical data, using relevant information …
A cross‐project defect prediction method based on multi‐adaptation and nuclear norm
Q Huang, L Ma, S Jiang, G Wu, H Song, L Jiang… - IET …, 2022 - Wiley Online Library
Cross‐project defect prediction (CPDP) is an important research direction in software defect
prediction. Traditional CPDP methods based on hand‐crafted features ignore the semantic …
prediction. Traditional CPDP methods based on hand‐crafted features ignore the semantic …
Class imbalance issue in software defect prediction models by various machine learning techniques: an empirical study
Software practitioners are continuing to build advanced software defect prediction (SDP)
models to help the tester find fault-prone modules. However, the Class Imbalance (CI) …
models to help the tester find fault-prone modules. However, the Class Imbalance (CI) …