Results 41 to 50 of about 233 (109)
Predicting Fault Inflow in Highly Iterative Software Development Processes
In highly iterative development processes, functionality is continuously added while existing faults are repaired simultaneously. Therefore, practitioners need means to predict the fault inflow, i.e.
Seidler, Martin Bäumer Patrick
core +2 more sources
Software Reliability Growth Model with Partial Differential Equation for Various Debugging Processes
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
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
[[abstract]]In order to assure software quality and assess software reliability, many software reliability growth models (SRGMs) have been proposed for estimation of reliability growth of products in the past three decades.
C. J. Hsu;C. Y. Huang
core +1 more source
Comparison of mobile operating systems based on models of growth reliability of the software [PDF]
Evaluation of software reliability is an important part of the process of developing modern software. Many studies are aimed at improving models for measuring and predicting the reliability of software products.
Giancarlo Succi, Vladimir V. Ivanov
doaj +1 more source
A Dynamical Reliability Prediction Algorithm for Composite Service
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
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
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
Spontaneous Rupture of a Nonparasitic Hepatic Cyst Associated with Peritonitis
The first report of a nonparnsitic cyst complicated by rupture and peritonitis is given. A 63‐year‐old female found to have a nonparasitic hepatic cyst was discharged from hospital when her symptoms of sharp intermittent pains in the right upper quadrant resolved spontaneously. Hours later, she was re‐admitted with rupture and peritonitis.
Patricia Shipley +4 more
wiley +1 more source
Software reliability growth models incorporating fault dependency with various debugging time lags
[[abstract]]Software reliability is defined as the probability of failure-free software operation for a specified period of time in a specified environment.
Huang,Chin-Yu +4 more
core +1 more source

