Results 11 to 20 of about 21,044,990 (111)
Exponentiated Weibull distribution approach based inflection S-shaped software reliability growth model [PDF]
Ain Shams Engineering Journal, 2016 The aim of this paper was to estimate the number of defects in software and remove them successfully. This paper incorporates Weibull distribution approach along with inflection S-shaped Software Reliability Growth Models (SRGM).
B.B. Sagar +2 more
doaj +2 more sources
A SOFTWARE RELIABILITY GROWTH MODEL FOR VITAL QUALITY METRICS [PDF]
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 +1 more source
Complexity, Volume 2023, Issue 1, 2023., 2023 Swarm intelligence algorithms are metaheuristics inspired by the collective behavior of species such as birds, fish, bees, and ants. They are used in many optimization problems due to their simplicity, flexibility, and scalability. These algorithms get the desired convergence during the search by balancing the exploration and exploitation processes ...
Alam Zeb +5 more
wiley +1 more source
The Transformation and Export of Organic Carbon Across an Arctic River‐Delta‐Ocean Continuum
Journal of Geophysical Research: Biogeosciences, Volume 127, Issue 12, December 2022., 2022 Abstract The Arctic Ocean is surrounded by land that feeds highly seasonal rivers with water enriched in high concentrations of dissolved and particulate organic carbon (DOC and POC). Explicit estimates of the flux of organic carbon across the land‐ocean interface are difficult to quantify and many interdependent processes makes source attribution ...
J. Blake Clark +4 more
wiley +1 more source
A New Variant of JM Software Reliability Model
Scientific Programming, Volume 2022, Issue 1, 2022., 2022 Software reliability is the probability of failure‐free operations of software in a specific environment in a given time period. Various software reliability models have been designed by the researchers, but the JM model is the first influential model.
Kuldeep Singh Kaswan +5 more
wiley +1 more source
IEEE Access, 2022 Due to changing software requirements and increasing system complexity, which put forward new challenges to the related testing processes to ensure software trustworthiness.
Nan Li +6 more
doaj +1 more source
Cost-benefit modelling for reliability growth [PDF]
, 2003 Decisions during the reliability growth development process of engineering equipment involve trade-offs between cost and risk. However slight, there exists a chance an item of equipment will not function as planned during its specified life. Consequently
Quigley, J.L., Walls, L.A.
core +5 more sources
A New Reliability Model Based on Lindley Distribution with Application to Failure Data
Mathematical Problems in Engineering, Volume 2020, Issue 1, 2020., 2020 Software reliability is an important feature that influences systems’ reliability. Software reliability models are a common tool to evaluate software reliability quantitatively. Various reliability models have been suggested based on the NHPP (nonhomogeneous Poisson process).
Norah N. Al-Mutairi +3 more
wiley +1 more source
Confidence intervals for reliability growth models with small sample sizes [PDF]
, 2003 Fully Bayesian approaches to analysis can be overly ambitious where there exist realistic limitations on the ability of experts to provide prior distributions for all relevant parameters.
Quigley, J.L., Walls, L.A.
core +4 more sources
Applying Software Metrics to RNN for Early Reliability Evaluation
Journal of Control Science and Engineering, Volume 2020, Issue 1, 2020., 2020 Structural modeling is an important branch of software reliability modeling. It works in the early reliability engineering to optimize the architecture design and guide the later testing. Compared with traditional models using test data, structural models are often difficult to be applied due to lack of actual data.
Hao Zhang +4 more
wiley +1 more source