Comparison of Hidden Markov Model with other Machine Learning Techniques in Software Defect Prediction

R Malhotra, C Singla… - 2022 IEEE 7th International …, 2022 - ieeexplore.ieee.org
In the field of Software Engineering, defect prediction is the most comprehensive and active
area of study. It determines which modules are prone to errors and requires rigorous testing …

FEPP: Advancing Software Risk Prediction in Requirements Engineering Through Innovative Rule Extraction and Multi-Class Integration

M Binsawad, B Khan - IEEE Access, 2024 - ieeexplore.ieee.org
The increasing complexity of software projects makes it difficult to predict risks in software
requirements, which is a crucial and essential part of the Software Development Life Cycle …

Software bug prediction using machine learning on jm1 dataset

NM Shailee, A Alam, T Ahmed… - … on Advances in …, 2024 - ieeexplore.ieee.org
Ensuring the quality of software systems is essential for effective and efficient usage in
complex software development procedures. A vital component of the whole procedure is the …

[PDF][PDF] Ensemble Model for Network Intrusion Detection System Based on Bagging Using J48

MM Otoom, KNA Sattar, M Al Sadig - Advances in Science and …, 2023 - bibliotekanauki.pl
Technology is rising on daily basis with the advancement in web and artificial intelligence
(AI), and big data developed by machines in various industries. All of these provide a …

Data-driven approach to dynamic uncertainty quantification of oil well production: Decline curve analysis and Hidden Markov Model

A Rezaeipour, B Dabir, M Ahmadi - Geoenergy Science and Engineering, 2023 - Elsevier
The upstream oil and gas industry has already used decline curve analysis to forecast oil
flow rates and estimate the ultimate recovery for decades. Despite its popularity, the …

Software defect prediction method based on the heterogeneous integration algorithm

Z Zheng, Y Liu, B Zhang, J Ren, Y Zong… - Journal of Intelligent …, 2023 - content.iospress.com
A software defect is a common cyberspace security problem, leading to information theft,
system crashes, and other network hazards. Software security is a fundamental challenge …

[PDF][PDF] Enhancing PDF Malware Detection through Logistic Model Trees.

M Binsawad - Computers, Materials & Continua, 2024 - cdn.techscience.cn
Malware is an ever-present and dynamic threat to networks and computer systems in
cybersecurity, and because of its complexity and evasiveness, it is challenging to identify …

[Retracted] Research on the Construction of Urban Leisure Physical Culture Healthy Big Data Service Platform Based on In‐Depth Learning

J Yuan, J Chen - Mobile Information Systems, 2022 - Wiley Online Library
The national fitness service system must focus on meeting the sports needs of residents,
innovate the construction mode of urban leisure sports big data service platform, and …

[Retracted] Data Management Platform of Forest Ecological Station Based on Internet of Things and Big Data Sensor

P Sun - Journal of Sensors, 2022 - Wiley Online Library
In order to solve the problems of low data storage efficiency and poor retrieval performance
in forest ecological station, a method of a forest ecological station data management …

Optimized multi correlation-based feature selection in software defect prediction

MNM Rahman, RA Nugroho, MR Faisal… - TELKOMNIKA …, 2024 - telkomnika.uad.ac.id
In software defect prediction, noisy attributes and high-dimensional data remain to be a
critical challenge. This paper introduces a novel approach known as multi correlation-based …