Software defect prediction using artificial neural networks: A systematic literature review

MA Khan, NS Elmitwally, S Abbas, S Aftab… - Scientific …, 2022 - Wiley Online Library
The demand for automated online software systems is increasing day by day, which
triggered the need for high‐quality and maintainable softwares at lower cost. Software defect …

Feature selection using golden jackal optimization for software fault prediction

H Das, S Prajapati, MK Gourisaria, RM Pattanayak… - Mathematics, 2023 - mdpi.com
A program's bug, fault, or mistake that results in unintended results is known as a software
defect or fault. Software flaws are programming errors due to mistakes in the requirements …

BugPre: an intelligent software version-to-version bug prediction system using graph convolutional neural networks

Z Wang, W Tong, P Li, G Ye, H Chen, X Gong… - Complex & Intelligent …, 2023 - Springer
Since defects in software may cause product fault and financial loss, it is essential to conduct
software defect prediction (SDP) to identify the potentially defective modules, especially in …

Predicted mean vote of subway car environment based on machine learning

K Huang, S Lu, X Li, K Feng, W Chen… - Big Data Mining and …, 2022 - ieeexplore.ieee.org
The thermal comfort of passengers in the carriage cannot be ignored. Thus, this research
aims to establish a prediction model for the thermal comfort of the internal environment of a …

Parameterized Clustering Cleaning Approach for High-Dimensional Datasets with Class Overlap and Imbalance

N Goel, M Singaravelu, S Gupta, S Namana… - SN Computer …, 2023 - Springer
Abstract Software Defect Prediction (SDP) uses machine learning algorithms to detect faulty
and defective modules inside software projects. Like any machine learning model, the …

A clustering-based resampling technique with cluster StructureAnalysis for software defect detection in imbalanced datasets

L Akritidis, P Bozanis - Information Sciences, 2024 - Elsevier
Software defect detection focuses on the automatic identification of flaws in software
modules. Given the great importance of the problem, numerous researchers have …

[HTML][HTML] Highlighting bugs in software development codes using SDPET for enhancing security

NA Bhaskaran, M Durairaj - Measurement: Sensors, 2023 - Elsevier
The requirement for high-quality, inexpensive software that can be maintained is being
driven by the rise in demand for automated online software systems. Early defect …

An Improved Confounding Effect Model for Software Defect Prediction

Y Yuan, C Li, J Yang - Applied Sciences, 2023 - mdpi.com
Software defect prediction technology can effectively improve software quality. Depending
on the code metrics, machine learning models are built to predict potential defects. Some …

SOFTWARE DEFECT PREDICTION APPROACHES REVISITED

KS Shebl, YM Afify, N Badr - International Journal of Intelligent …, 2023 - journals.ekb.eg
A crucial field in software development and testing is Software Defect Prediction (SDP)
because the quality, dependability, efficiency, and cost of the software are all improved by …

A software defect prediction approach by Cat Hunting Optimization (CHO) algorithm and deep learning based on the GAN-VGG16 networks

A Ghaedi, A Khatibi Bardsiri… - Mehdi, A Software …, 2023 - papers.ssrn.com
Software projects need a strong programming team, time, cost, and experience to succeed.
In many software projects, the project progress factors need to be better provided, and the …