scholarly journals A Testing Coverage Model Based on NHPP Software Reliability Considering the Software Operating Environment and the Sensitivity Analysis

Mathematics ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 450 ◽  
Author(s):  
Kwang Yoon Song ◽  
In Hong Chang ◽  
Hoang Pham
Keyword(s):  
Sensitivity Analysis ◽  
Software Reliability ◽  
Goodness Of Fit ◽  
Mean Value ◽  
Operating Environment ◽  
Model Based ◽  
Proposed Model ◽  
Coverage Model ◽  
The Impact ◽  
Testing Coverage

We have been attempting to evaluate software quality and improve its reliability. Therefore, research on a software reliability model was part of the effort. Currently, software is used in various fields and environments; hence, one must provide quantitative confidence standards when using software. Therefore, we consider the testing coverage and uncertainty or randomness of an operating environment. In this paper, we propose a new testing coverage model based on NHPP software reliability with the uncertainty of operating environments, and we provide a sensitivity analysis to study the impact of each parameter of the proposed model. We examine the goodness-of-fit of a new testing coverage model based on NHPP software reliability and other existing models based on two datasets. The comparative results for the goodness-of-fit show that the proposed model does significantly better than the existing models. In addition, the results for the sensitivity analysis show that the parameters of the proposed model affect the mean value function.

scholarly journals A Software Reliability Model with a Weibull Fault Detection Rate Function Subject to Operating Environments

2017 ◽  
Author(s):  
Kwang Yoon Song ◽  
In Hong Chang ◽  
Hoang Pham
Keyword(s):  
Software Reliability ◽  
Goodness Of Fit ◽  
Rate Function ◽  
Mean Value ◽  
Software Systems ◽  
Reliability Model ◽  
Function Solution ◽  
Software Reliability Model ◽  
Operating Environments ◽  
Proposed Model

The main focus when developing software is to improve the reliability and stability of a software system. When software systems are introduced, these systems are used in field environments that are the same as or close to those used in the development-testing environment; however, they may also be used in many different locations that may differ from the environment in which they were developed and tested. In this paper, we propose a new software reliability model that takes into account the uncertainty of operating environments. The explicit mean value function solution for the proposed model is presented. Examples are presented to illustrate the goodness-of-fit of the proposed model and several existing non-homogeneous Poisson process (NHPP) models and confidence intervals of all models based on two sets of failure data collected from software applications. The results show that the proposed model fits the data more closely than other existing NHPP models to a significant extent.

scholarly journals Influence of Customer Attrition on Diffusion of Business Education Services

2017 ◽  
Vol 2 (2) ◽  
pp. 125-134
Author(s):  
Nitin Sachdeva
Keyword(s):  
Goodness Of Fit ◽  
New Product ◽  
Mean Value ◽  
Diffusion Models ◽  
Primary Data ◽  
Type I ◽  
Modeling Framework ◽  
Customer Attrition ◽  
The Impact

Innovation diffusion models have been developed by many researchers during the past few decades based on the famous Bass (1969) model. Several such diffusion models have been developed in consideration of price, marketing efforts etc., however, it is hardly seen that customer attrition (disadoption) can play a significant role in long term growth process of any new product or service. This paper defines two types of disadoption process, Type I disadoption and Type II disadoption process, representing disadopters from innovators and imitators, respectively. We illustrate that there is an increase in the market size along with the adoption of new product and this increase is addressed in this paper. The explicit mean value function for the two types of disadoption processes is derived in this paper. The thrust of the research is on studying the management educational services in the Delhi/NCR region of India and the impact of disadoption on the long term growth of such services. In order to validate the proposed modeling framework, we make use of different goodness-of-fit criteria on primary data collected from an institute in Delhi/NCR.

Assessing the impact of agrochemicals on schistosomiasis transmission: A mathematical study

2021 ◽  
pp. 2150049
Author(s):  
Liming Cai ◽  
Peixia Yue ◽  
Mini Ghosh ◽  
Xuezhi Li
Keyword(s):  
Mathematical Model ◽  
Sensitivity Analysis ◽  
Numerical Simulations ◽  
Disease Transmission ◽  
Agricultural Pollution ◽  
Parasitic Disease ◽  
Mathematical Study ◽  
Proposed Model ◽  
Existence And Stability ◽  
The Impact

Schistosomiasis is a snail-borne parasitic disease, which is affecting almost 240 million people worldwide. The number of humans affected by schistosomiasis is continuously increasing with the rise in the use of agrochemicals. In this paper, a mathematical model is formulated and analyzed to assess the effect of agrochemicals on the transmission of schistosomiasis. The proposed model incorporates the effects of fertilizers, herbicides and insecticides on susceptible snails and snail predators along with schistosomiasis disease transmission. The existence and stability of the equilibria in the model are discussed. Sensitivity analysis is performed to identify the key parameters of the proposed model, which contributes most in the transmission of this disease. Numerical simulations are also performed to assess the impact of fertilizers, herbicides and insecticides on schistosomiasis outbreaks. Our study reveals that the agricultural pollution can enhance the transmission intensity of schistosomiasis, and in order to prevent the outbreak of schistosomiasis, the use of pesticides should be controlled.

scholarly journals Software Reliability Model with Dependent Failures and SPRT

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1366
Author(s):  
Da Hye Lee ◽  
In Hong Chang ◽  
Hoang Pham
Keyword(s):  
Software Reliability ◽  
Goodness Of Fit ◽  
Growth Models ◽  
Hypothesis Test ◽  
Evaluation Criteria ◽  
Ratio Test ◽  
Software Failures ◽  
Dependent Failures ◽  
Proposed Model ◽  
Real World Datasets

Software reliability and quality are crucial in several fields. Related studies have focused on software reliability growth models (SRGMs). Herein, we propose a new SRGM that assumes interdependent software failures. We conduct experiments on real-world datasets to compare the goodness-of-fit of the proposed model with the results of previous nonhomogeneous Poisson process SRGMs using several evaluation criteria. In addition, we determine software reliability using Wald’s sequential probability ratio test (SPRT), which is more efficient than the classical hypothesis test (the latter requires substantially more data and time because the test is performed only after data collection is completed). The experimental results demonstrate the superiority of the proposed model and the effectiveness of the SPRT.

Grey target decision-making model of interval grey number based on cone volume

2017 ◽  
Vol 7 (2) ◽  
pp. 247-258 ◽  
Author(s):  
Lizhen Wang ◽  
Wuyong Qian
Keyword(s):  
Decision Making ◽  
Entropy Method ◽  
Maximal Entropy ◽  
Information Distortion ◽  
Content Type ◽  
Model Based ◽  
Proposed Model ◽  
Grey Number ◽  
Decision Making Model ◽  
The Impact

Purpose The purpose of this paper is to propose a grey target decision model based on cobweb area in order to overcome the effect and influence from the extreme value of the index on the decision result. However, it does not take into account the impact of the correlation between indicators on the angle of the index, and produce a certain degree decision information distortion as a result of the equal angle between the indicators. In order to solve the above problems, a novel grey decision-making model based on cone volume is proposed. Design/methodology/approach In this paper, the model uses the whitening weight function to whiten the interval grey number, and the Delphi method and the maximal entropy method are exploited to integrate the weight of the index. On the basis of this, the center of the bull’s eye, the weight and the index value are constructed as the center circle, the radius, and the high cone, respectively. The scheme is selected by the volume of the cone, the decision is made according to the order relation, and the example is utilized to prove and analyze the validity of the proposed model. Findings The results show that the proposed model can well improve the traditional grey target decision-making model from the modeling object and modeling method. Practical implications The method exposed in the paper can be used to deal with the grey target decision-making problems which characteristics are multi-indexes, and the attribute values are interval grey numbers. Originality/value The paper succeeds in overcoming the disadvantages of grey target decision making based on the target center distance and the cobweb area.

scholarly journals THE IMPACT OF PERCEIVED VALUE, DESTINATION SERVICE QUALITY, AND TOURIST SATISFACTION ON DESTINATION LOYALTY AMONG INTERNATIONAL TOURISTS VISITING MALAYSIA

2019 ◽  
Vol 4 (16) ◽  
pp. 10-26
Author(s):  
Mahadzirah Mohamad ◽  
Nur Izzati Ab Ghani ◽  
Muhamad Nasyat Muhamad Nasir
Keyword(s):  
Service Quality ◽  
Goodness Of Fit ◽  
Perceived Value ◽  
Tourism Industry ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Destination Loyalty ◽  
Tourist Satisfaction ◽  
Proposed Model ◽  
The Impact

The competitive situation and challenges within the tourism industry worldwide entailed a better understanding of destination loyalty’s determinants in achieving Malaysia’s aspiration to retain its international reputation as one of the most desirable tourist destinations in Asia. Literature proved that factors such as perceived value, service quality and tourist satisfaction could influence in improving destination loyalty. In view of this, there is a need to examine the influence of several constructs namely perceived value, service quality and tourist satisfaction that can contribute to the loyalty of international tourists towards Malaysia as it was suggested in the literature review. Therefore, the main objectives of this study were to examine the influence of perceived value and service quality on tourist satisfaction, which in turn would influence destination loyalty. In this study, tourist satisfaction was treated as the mediating variable. The proposed model was tested using structural equation modeling on a sample of 337 foreign tourists selected using a random sampling method. The study was conducted from August 2014 to October 2014. The proposed model achieved acceptable goodness-of-fit. The requirements for reliability and validity were also met. The results of the empirical study indicated that perceived value influenced tourist satisfaction and destination loyalty. In addition, the findings revealed that service quality had a significant effect on satisfaction. However, service quality had no significant effect on destination loyalty. Moreover, the findings indicated that tourist satisfaction had a full mediating effect on the relationship between service quality and destination loyalty. The study contributed to a better understanding of behavioral factors that would represent a sustainable source for increasing customer retention at the level of individual providers as well as a destination as a whole. Individual providers should focus on delivering quality services related to accommodation, information and facilities, health and hygiene, and shopping that were associated with the visitor’s travel experience. Aspects of perceived value identified in the study could be used as a strategic tool in managing tourism offerings which could enhance the destination’s competitive edge.

Fault Diversity in Software Reliability

1987 ◽  
Vol 1 (2) ◽  
pp. 175-187 ◽  
Author(s):  
Philip J. boland ◽  
Frank proschan ◽  
Y. L. Tong
Keyword(s):  
Software Reliability ◽  
Multinomial Distribution ◽  
Software System ◽  
Reliability Model ◽  
Software Bugs ◽  
Model Based ◽  
Software Reliability Model ◽  
Time To Detection ◽  
The Impact

Diversity of bugs or faults in a software system is a factor contributing to software unreliability which has not yet been appropriately emphasized. This paper is written with the intention of demonstrating the impact of fault diversity on the time to detection of software bugs. A new discrete software reliability model based on the multinomial distribution is introduced. It is shown that for models of this type, the more diverse the fault probabilities are, the longer (stochastically) it takes to detect or eliminate any n faults, while the smaller (stochastically) will be the number of faults detected or eliminated during a given amount of time (or during a given number of inputs to the system). The impact of fault diversity is also demonstrated for the Jelinski–Moranda model.

scholarly journals Testing effort based software reliability assessment incorporating FRF and change point

2020 ◽  
Vol 30 (3) ◽  
pp. 273-288
Author(s):  
Rajat Arora ◽  
Anu Aggarwal
Keyword(s):  
Software Reliability ◽  
Change Point ◽  
Goodness Of Fit ◽  
Removal Rate ◽  
Reduction Factor ◽  
Software Systems ◽  
Testing And Debugging ◽  
Testing Effort ◽  
Proposed Model ◽  
Software Reliability Growth

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. The time point after which the rates are changed is termed as the change point. Practically, the failure count may not coincide with the total fault count removed from the system. Their ratio is measured by Fault Reduction Factor (FRF). Here, we propose a Weibull testing effort dependent Software Reliability Growth Model with logistic FRF and change point for assessing the failure phenomenon of a software system. The models have been validated on two real software fault datasets. The parameters are estimated using Least squares and various criteria are employed to check the goodness of fit. The comparison is also facilitated with the existing models in literature to demonstrate that proposed model has better performance.

PREDICTING SOFTWARE RELIABILITY IN A FUZZY FIELD ENVIRONMENT

2013 ◽  
Vol 20 (03) ◽  
pp. 1340001 ◽  
Author(s):  
AMIR H. S. GARMABAKI ◽  
ALIREZA AHMADI ◽  
P. K. KAPUR ◽  
UDAY KUMAR
Keyword(s):  
Software Reliability ◽  
Harsh Environment ◽  
Development Phase ◽  
Operating Environment ◽  
Field Environment ◽  
Operating Environments ◽  
Development Cycle ◽  
Proposed Model ◽  
Stochastic Parameters ◽  
And Performance

The testing-development phase has been carried out in a given control environment. However, the product will be used in different operating environment by different end-users, which is unknown to the developer. The operating environment may range from a very clean one up to a harsh environment. These uncertain operating environments will impact to the reliability and performance of the software which may differ from the testing phase reliability. We consider that the effect of environment on reliability has a fuzzy nature. The fuzzy effects of the field environments can be captured by a unit-free environmental factor. To overcome this problem, the fuzzy probabilistic theory may be used in the processing of stochastic parameters, taking into account their fuzzy nature. The proposed model is based on Weibull distribution. The aim of this paper is to introduce a fuzzy field environment (FFE) reliability model that covers both the testing and operating phases in the development cycle. Illustration examples of the proposed model have been validated on data collected from two industries.

scholarly journals The Effect of Mean Load for S355J0 Steel with Increased Strength

Metals ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 209 ◽  
Author(s):  
Roland Pawliczek ◽  
Dariusz Rozumek
Keyword(s):  
Fatigue Life ◽  
Mean Value ◽  
Mean Stress ◽  
Good Compliance ◽  
New Model ◽  
Proposed Model ◽  
Calculation Results ◽  
The Mean ◽  
Increased Strength ◽  
The Impact

The paper presents an algorithm for calculating the fatigue life of S355J0 steel specimens subjected to cyclic bending, cyclic torsion, and a combination of bending and torsion using mean stress values. The method of transforming cycle amplitudes with a non-zero mean value into fatigue equivalent cycles with increased amplitude and zero mean value was used. Commonly known and used transformation dependencies were used and a new model of the impact of the mean stress value on the fatigue life of the material was proposed. The life calculated based on the proposed algorithm was compared with the experimental life. It has been shown that the proposed model finds the widest application in the load cases studied, giving good compliance of the calculation results with the experimental results.

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