Results 61 to 70 of about 233 (109)

Software reliability growth models: A comparison of linear and exponential fault content functions for study of imperfect debugging situations

open access: yesCogent 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

An ANFIS-Based High Precision Error Iterative Analysis Method (HPEIAM) to Improve Existing Software Reliability Growth Models [PDF]

open access: yes
Software Reliability Growth Models (SRGMs) are statistical interpolations of software failures by mathematical modeling. Up till now, more than 200 SRGMs have been proposed to estimate failure occurrence.
Sahar, Gul   +3 more
core   +2 more sources

Develop Approach to Predicate Software Reliability Growth Model Parameters Based on Machine learning

open access: yesIraqi Journal for Computers and Informatics
One of the most important aspects in determining the quality of a software product before placing it on the market is its reliability. The main problem in creating effective software that satisfies the user preferences is that it must be highly reliable.
anfal A. Fadhil   +2 more
doaj   +1 more source

Software Reliability Growth Model Combining Testing Effort Function and Burr-Type Fault Detection Rate

open access: yesMathematics
Software reliability growth models (SRGMs) often assume a linear relationship between the fault detection rate (FDR) and testing effort function (TEF), which fails to capture their dynamic and nonlinear characteristics.
Yixin Qiao   +4 more
doaj   +1 more source

Assessing Software Reliability Using Modified Genetic Algorithm: Inflection S-Shaped Model [PDF]

open access: yes, 2017
In order to assess software reliability, many software reliability growth models (SRGMs) have been proposed in the past four decades. In principle, two widely used methods for the parameter estimation of SRGMs are the maximum likelihood estimation (MLE ...
, Dr. R. Satyaprasad, G. Bharathi
core  

DSC‐SRGM: A Deep Synthetic Cross‐Project Software Reliability Growth Model

open access: yes
Software reliability growth models (SRGMs) are widely used to predict software reliability based on defect discovery data collected during testing or operational phases.
Taehyoun Kim, Duksan Ryu, Jongmoon Baik
core   +1 more source

Controlled gentamicin- strontium release as a dual action bone agent: Combination of the porous titanium scaffold and biodegradable polymers

open access: yes, 2017
Titanium is considered a promising biomaterial for load bearing implantation in orthopedics. However, its biologically inert behavior makes the surface treatment essential to improve the bioactivity.
Mohammad Khodaei   +5 more
core   +1 more source

Software reliability modeling for fault detection and fault correction processes considering Burr Type X testing effort function

open access: yesFrontiers in Applied Mathematics and Statistics
Software reliability analysis is vital for evaluating software quality, where reliability is the probability of failure operation of a system for a specified duration. Numerous SRGMs have been proposed, mainly based on the NHPP to enhance the reliability
Kaushal Kumar   +3 more
doaj   +1 more source

Genome-wide characterization leading to simple sequence repeat (SSR) markers development in Shorea robusta. [PDF]

open access: yesFunct Integr Genomics, 2023
Mishra G   +5 more
europepmc   +1 more source

Considering fault dependency and debugging time lag in reliability growth modeling during software testing

open access: yes, 2004
[[abstract]]Since the early 1970's tremendous growth has been seen in the research of software reliability growth modeling. In general, software reliability growth models (SRGMs) are applicable to the late stages of testing in software development and ...
Huang,Chin-Yu   +5 more
core   +1 more source

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