Results 11 to 20 of about 796 (174)

Prediction of Membrane Failure in a Water Purification Plant Using Nonhomogeneous Poisson Process Models [PDF]

Membranes, 2021
The prediction of membrane failure in full-scale water purification plants is an important but difficult task. Although previous studies employed accelerated laboratory-scale tests of membrane failure, it is not possible to reproduce the complex ...
Takashi Hashimoto, Satoshi Takizawa
doaj   +2 more sources

Modeling recurrent heart failure risk in type 2 diabetes: impact of flexible HbA1c trajectories using nonhomogeneous Poisson processes [PDF]

Frontiers in Endocrinology
BackgroundMany clinical trials yielded inconsistent results regarding the effect of intensive glycated hemoglobin control on cardiovascular diseases in type 2 diabetes.
Di Cui, Haiyan Xu, Xiuju Fu, Stefan Ma, Yong Mong Bee   +4 more
doaj   +2 more sources

Analysis of incorporating modified Weibull model fault detection rate function into software reliability modeling [PDF]

Heliyon
When software systems are introduced, they are typically deployed in field environments similar to those used during development and testing. However, these systems may also be used in various other locations with different environmental conditions ...
Tabassum Naz Sindhu, Anum Shafiq, Zakia Hammouch, Marwa K.H. Hassan, Tahani A. Abushal   +4 more
doaj   +2 more sources

NHPP-Based Software Reliability Models Using Equilibrium Distribution [PDF]

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2012
SUMMARY Non-homogeneous Poisson processes (NHPPs) have gained much popularity in actual software testing phases to estimate the software reliability, the number of remaining faults in software and the software release timing. In this paper, we propose a new modeling approach for the NHPP-based software reliability models (SRMs) to describe the ...
Hiroyuki Okamura, Tadashi Dohi
exaly   +4 more sources

Time Control Charts Through NHPP Based on Dagum Distribution

International Journal of Analysis and Applications, 2018
Statistical process control is a method of monitoring product in its development process using statistical techniques with the presumption that the products produced under identical process condition shall not always be alike with respect to some quality
B. Srinivasa Rao, P. Sricharani
doaj   +4 more sources

A novel approach of NPSO on dynamic weighted NHPP model for software reliability analysis with additional fault introduction parameter

Heliyon, 2019
This paper presents software fault detection, which is dependent upon the effectiveness of the testing and debugging team. A more skilled testing team can achieve higher rates of debugging success, and thereby removing a larger fraction of faults ...
G S Mahapatra
exaly   +3 more sources

Profile of gonadotropin secretion in male and female rats determined in the tail-tip blood by ultrasensitive ELISA. [PDF]

J Neuroendocrinol
Abstract There is a need for accurate and less invasive methods of hormonal measurements. Here, we longitudinally determined luteinizing hormone (LH) and follicle‐stimulating hormone (FSH) secretion measured in the tail‐tip blood of male and female rats by ultrasensitive enzyme‐linked immunosorbent assay (ELISA).
Araujo-Lopes R, Gomes AF, Viana M, Santos MS, Campideli-Santana AC, Macari S, Reis AM, Szawka RE.   +7 more
europepmc   +2 more sources

Testing effort based software reliability assessment incorporating FRF and change point [PDF]

Yugoslav Journal of Operations Research, 2020
In today's World, to meet the demand of high quality and reliable software systems, it is imperative to perform comprehensive testing and debugging of the software code. The fault detection and removal rate may change over time.
Arora Rajat, Aggarwal Anu G.
doaj   +1 more source

Using the Methods of Statistical Data Analysis to Improve the Trustworthiness of Software Reliability Modeling

IEEE Access, 2022
In the past, several software reliability growth models (SRGMs) have been proposed to predict various aspects of software reliability, and non-homogeneous Poisson process (NHPP)-based SRGMs have drawn much attention.
Yi-Fan Hou, Chin-Yu Huang, Chih-Chiang Fang   +2 more
doaj   +1 more source

Are Infinite-Failure NHPP-Based Software Reliability Models Useful?

Software, 2022
In the literature, infinite-failure software reliability models (SRMs), such as Musa-Okumoto SRM (1984), have been demonstrated to be effective in quantitatively characterizing software testing processes and assessing software reliability.
Siqiao Li, Tadashi Dohi, Hiroyuki Okamura   +2 more
doaj   +1 more source