Results 41 to 50 of about 21,044,990 (111)
Software Reliability Growth Model with Partial Differential Equation for Various Debugging Processes
Mathematical Problems in Engineering, Volume 2016, Issue 1, 2016., 2016 Most Software Reliability Growth Models (SRGMs) based on the Nonhomogeneous Poisson Process (NHPP) generally assume perfect or imperfect debugging. However, environmental factors introduce great uncertainty for SRGMs in the development and testing phase.
Jiajun Xu +2 more
wiley +1 more source
Mathematical Problems in Engineering, Volume 2016, Issue 1, 2016., 2016 Software reliability growth models (SRGMs) based on a nonhomogeneous Poisson process (NHPP) are widely used to describe the stochastic failure behavior and assess the reliability of software systems. For these models, the testing‐effort effect and the fault interdependency play significant roles.
Fan Li, Ze-Long Yi, Khaled Bahlali
wiley +1 more source
A Dynamical Reliability Prediction Algorithm for Composite Service
Mathematical Problems in Engineering, Volume 2014, Issue 1, 2014., 2014 Dynamic selection and dynamic binding and rebinding at runtime are new characters of composite services. The traditional static reliability prediction models are unsuitable to dynamic composite services. A new reliability predicting algorithm for composite services is proposed in this paper.
Chunli Xie, Jianguo Ren, Housheng Su
wiley +1 more source
IEEE AccessThis study proposes a unified Bayesian decision framework for software release planning by integrating a human-factor-based software reliability growth model (SRGM), a priority-driven debugging process, and a nonlinear reliability formulation ...
Ming-Nan Chen +2 more
doaj +1 more source
Stochastic Differential Equation‐Based Flexible Software Reliability Growth Model
Mathematical Problems in Engineering, Volume 2009, Issue 1, 2009., 2009 Several software reliability growth models (SRGMs) have been developed by software developers in tracking and measuring the growth of reliability. As the size of software system is large and the number of faults detected during the testing phase becomes large, so the change of the number of faults that are detected and removed through each debugging ...
P. K. Kapur +4 more
wiley +1 more source
, 2012 The purpose of this study is to analyze the reliability growth of Open Source Software (OSS) versus software developed in-house (i.e. Closed Source Software, CSS) using Software Reliability Growth Model.
Najeeb Ullah +3 more
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Software Failure Probability Quantification for System Risk Assessment
Scholarly Research Exchange, Volume 2009, Issue 1, 2009., 2009 Risk caused by safety‐critical I&C systems considerably affects overall plant risk. Software failures in digitalized I&C systems must be considered as the cause of risk. As digitalization of safety‐critical systems progresses, the need for software failure probability quantification increases.
Hyun Gook Kang +2 more
wiley +1 more source
SOFTWARE RELIABILITY ESTIMATION USING SRGM [PDF]
, 2017 Software Reliability Growth Model is a scientific model that helps in how the operating system trustworthiness improves as faults are detected and corrected. The dense of SRGM is judged by its proficiency to fit the shareware deficiency data.
Divya, P., Kumar, Mr D. Syam
core
Analysis of Testing and Operational Software Reliability in SRGM based on NHPP
, 2007 Software Reliability is one of the key factors in the software development process. Software Reliability is estimated using reliability models based on Non Homogenous Poisson Process.
D. R. Prince Williams, S. Thirumurugan
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Debugging-workflow-aware software reliability growth analysis
, 2017 Software reliability growth models support the prediction/assessment of product quality, release time, and testing/debugging cost. Several software reliability growth model exten- sions take into account the bug correction process.
COTRONEO, DOMENICO +9 more
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