A robust weighted SVR-based software reliability growth model

LV Utkin, FPA Coolen - Reliability Engineering & System Safety, 2018 - Elsevier
This paper proposes a new software reliability growth model (SRGM), which can be
regarded as an extension of the non-parametric SRGMs using support vector regression to …

Parameter estimation of software reliability model using firefly optimization

A Choudhary, AS Baghel, OP Sangwan - Data Engineering and Intelligent …, 2018 - Springer
This paper, presents an effective parameter estimation technique for software reliability
growth models using firefly algorithm. Software failure rate with respect to time has always …

[PDF][PDF] Software Superiority Achievement through Functional Point and Test Point Analysis

AK Kadam, SD Joshi, D Bhattacharyya… - Int. J. Softw. Eng. Its …, 2016 - academia.edu
Software cost estimation is the important activity while the development of the software.
Expenditure assessment is bit complex task as it can be affected by many factors. This …

[HTML][HTML] 基于向量自回归模型的软件可靠性评估与预测方法

严可, 杨剑锋, 冯宝凤 - Advances in Applied Mathematics, 2022 - hanspub.org
针对目前大多数软件可靠性模型未考虑故障相关性和参数估计求解较难的问题,
本文提出了一种基于向量自回归模型的软件可靠性评估与预测方法, 该模型考虑了软件各组件之 …

[HTML][HTML] 基于光滑样条回归的软件可靠性模型

仇正霞, 杨剑锋, 胡文生, 黄嘉悦 - Modeling and Simulation, 2023 - hanspub.org
随着软件产品在各行各业的广泛使用, 其高可靠, 高安全成为衡量一个软件质量的重要属性.
本文引入了一种基于光滑样条回归的软件可靠性模型, 并将其与传统的软件可靠性模型进行比较 …

Parametric and non-parametric mathematical modelling techniques: a practical approach of an electrical machine identification

O Gonzales - Ecuadorian Science Journal, 2021 - journals.gdeon.org
Mathematical modeling is an important feature concerning the analysis and control of
dynamic systems. Also, system identification is an approach for building mathematical …

[PDF][PDF] Hybrid Approach of Code Analysis and Efforts Calculation for Software Reliability Growth Measurement and Cost Estimation

AN Patil, A Kadam, SB Wakurdekar, SD Joshi - database - researchgate.net
Background: Software reliability modeling of information gathered amid the testing of an
expansive scale mechanical framework (System T) was utilized to gauge software quality …

Improving the Accuracy of Software Reliability Modeling by Predicting the Number of Secondary Software Defects

O Odarushchenko… - CEUR Workshop …, 2022 - eprints.leedsbeckett.ac.uk
Reliability assessment and prediction of the number of faults/defects is an important part of
the software engineering process. Many software reliability models assume that all detected …

Artificial Neural Network-Based Approach for Forecasting Software Reliability: An Empirical Study

MK Pachariya, M Agrawal, CP Agrawal - Available at SSRN 4581146 - papers.ssrn.com
Abstract Software Reliability Forecasting (SRF) has been a core burning issue in software
development for decades. Lots of research work has also been carried out by various …

Development of a Software Reliability Prediction Method for Onboard European Train Control System

GP Longrais - 2021 - diva-portal.org
Software prediction is a complex area as there are no accurate models to represent
reliability throughout the use of software, unlike hardware reliability. In the context of the …