Results 31 to 40 of about 84 (78)
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
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
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 Prediction Based on Recurrent Neural Network and Ensemble Method
ComputersSoftware reliability is a crucial factor in determining software quality quantitatively. It is also used to estimate the software testing duration. In software reliability testing, traditional parametric software reliability growth models (SRGMs) are ...
Wafa Alshehri +2 more
doaj +1 more source
Cogent Engineering, 2017 The software testing process basically aims at building confidence in the software for its use in real world applications. The reliability of a software system is always important to us.
Javaid Iqbal
doaj +1 more source
A SOFTWARE RELIABILITY GROWTH MODEL FOR VITAL QUALITY METRICS
South African Journal of Industrial Engineering, 2012 <p>ENGLISH ABSTRACTA Non-Homogenous Poisson Process (NHPP) model whose failure intensity function has the same mathematical form as that of a generalized exponential function was proposed for application as a Software Reliability Growth Model (SRGM)
R. Subburaj, G. Gopal, P.K. Kapur
doaj
MathematicsEffectively modeling software failure behavior is crucial for reliability assessment and planning of releases. However, many current software reliability growth models assume that failures are independent and fault detection mechanisms are simplified ...
Kwang Yoon Song +2 more
doaj +1 more source
IEEE AccessThis study presents a Software Reliability Growth Model (SRGM) that incorporates imperfect debugging and employs Bayesian analysis to optimize the timing of software releases.
Chih-Chiang Fang, Liping Ma, Wenfeng Kuo
doaj +1 more source