Results 11 to 20 of about 1,369 (150)

Application of EM Algorithm to NHPP-Based Software Reliability Assessment with Generalized Failure Count Data

open access: yesMathematics, 2021
Software reliability models (SRMs) are widely used for quantitative evaluation of software reliability by estimating model parameters from failure data observed in the testing phase.
Hiroyuki Okamura, Tadashi Dohi
doaj   +2 more sources

An NHPP Software Reliability Model with S-Shaped Growth Curve Subject to Random Operating Environments and Optimal Release Time

open access: yesApplied Sciences, 2017
The failure of a computer system because of a software failure can lead to tremendous losses to society; therefore, software reliability is a critical issue in software development.
Kwang Yoon Song   +2 more
doaj   +2 more sources

A Testing Coverage Model Based on NHPP Software Reliability Considering the Software Operating Environment and the Sensitivity Analysis

open access: yesMathematics, 2019
We have been attempting to evaluate software quality and improve its reliability. Therefore, research on a software reliability model was part of the effort.
Kwang Yoon Song   +2 more
doaj   +2 more sources

Prediction of Tool Remaining Useful Life Based on NHPP-WPHM

open access: yesMathematics, 2023
A tool remaining useful life prediction method based on a non-homogeneous Poisson process and Weibull proportional hazard model (WPHM) is proposed, taking into account the grinding repair of machine tools during operation.
Yingzhi Zhang   +4 more
doaj   +2 more sources

Optimal Release Time and Sensitivity Analysis Using a New NHPP Software Reliability Model with Probability of Fault Removal Subject to Operating Environments

open access: yesApplied Sciences, 2018
With the latest technological developments, the software industry is at the center of the fourth industrial revolution. In today’s complex and rapidly changing environment, where software applications must be developed quickly and easily, software ...
Kwang Yoon Song   +2 more
doaj   +2 more sources

NHPP Software Reliability Model with Rayleigh Fault Detection Rate and Optimal Release Time for Operating Environment Uncertainty

open access: yesApplied Sciences
Software is used in diverse settings and depends on development and testing environments. Software development should improve the reliability, quality, cost, and stability of software, making the software testing period crucial.
Kwang Yoon Song, In Hong Chang
doaj   +2 more sources

Time Control Charts Through NHPP Based on Dagum Distribution [PDF]

open access: yesInternational Journal of Analysis and Applications, 2018
Statistical process control is a method of monitoring product in its development process using statistical techniques with the presumption that the products produced under identical process condition shall not always be alike with respect to some quality
B. Srinivasa Rao, P. Sricharani
doaj   +3 more sources

Web Software Reliability Analysis Based on NHPP Model

open access: yes, 2012
 This paper proposes a Web Software Reliability Growth Model(SRGM) with BurrX Testing Effort Function(TEF) based on Non-homogeneous Poisson Process(NHPP) and develops its application to Web software reliability analysis.
Hu, W,, Yang, J,, Zhao, Ming,
core   +9 more sources

LINEX Loss-Based Estimation of Expected Arrival Time of Next Event from HPP and NHPP Processes Past Truncated Time

open access: yesAnalytics
This article introduces a computational tool for Bayesian estimation of the expected time until the next event occurs in both homogeneous Poisson processes (HPPs) and non-homogeneous Poisson processes (NHPPs), following a truncated time.
M. S. Aminzadeh
doaj   +2 more sources

Mixed-Effects Nonhomogeneous Poisson Process Model for Multiple Repairable Systems

open access: yesIEEE Access, 2021
The nonhomogeneous Poisson process (NHPP) has become a useful approach for modeling failure patterns of recurrent failure data revealed by minimal repairs from an individual repairable system.
Byeong Min Mun   +2 more
doaj   +1 more source

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