Method Of Software Reliability Assessment Research Articles

A review on the research status of reliability analysis of the digital instrument and control system in NPPs

The widely use of digital instrument and control (I&C) systems in nuclear power plants (NPPs) and their important role in plant safety put forward the requirement for developing reliability modeling for digital systems with the capacity to be integrated into the existing probabilistic safety analysis (PSA) framework. However, challenges arise in the reliability analysis which mainly come from the modeling of complex interactions among the system hardware, software, controlled process physics, and operator. Generally, these factors are analyzed separately since at present there isn’t universal methods for modeling them in a uniform framework. In this paper, the research status of reliability modeling methodologies, software reliability assessment methods and human reliability analysis for digital instrument and control systems in NPPs were introduced. The survey results show that ET/FT is still the mainstream method in reliability studies of digital systems in NPPs, and DFM is a dynamic method with great potential. At present, there is no generally accepted software reliability analysis method. The researches about human errors under digital environment and the theoretical basis of corresponding human reliability analysis method is being developed.

Dependability Analysis Tool Based on Multi-Dimensional Stochastic Noisy Model for Cloud Computing with Big Data

This paper focuses on a big data on cloud computing environment by using open source software such as Open Stack and Eucalyptus because of the unification management of data and low cost. We propose a new approach to software dependability assessment based on stochastic differential equation modelling and jump diffusion process modelling in order to consider the interesting aspect of the numbers of components, cloud applications, and users. Moreover, we discuss the determination of an optimum software maintenance time minimizing the total expected software cost. In particular, we develop the three-dimensional AIR application for reliability and cost optimization analysis based on the proposed method. Then, we show numerical performance of the developed AIR application to evaluate the method of software reliability assessment for the big data on cloud computing.

An Analysis of Software Reliability Assessment with Neuro-Fuzzy based Expert Systems

Abstract We propose software reliability assessment methods by using neuro-fuzzy based systems and their effectiveness in assessing the Software Reliability. Also, we make a comparison between the neural networks based software reliability growth model and the fuzzy logic based software reliability growth models based on a homogeneous Poisson process applied to software reliability assessment of the entire system composed of several software components. Moreover, we analyze software fault count data to show numerical examples of software reliability assessment with the implementation of Neuro-Fuzzy systems based approach. Furthermore, we investigate the performance of an efficient software reliability assessment methods in this context. Also, we had shown the implementation of the approach by using Java programming language with some programs. We used the normalized root mean square error (NRMSE) as evaluation criteria. The experiments show that the non-parametric models are superior when compared to the parametric models in their ability to provide an accurate estimate when historical data is missing. A comparison among the neural network and fuzzy logic models are provided.

Reliability Assessment of Digital Protection Software under the Software Module Structure

Today, digital protection has been widely used in the power system.Its reliability directly affects the safety operation of the entire system.However, the current study focused primarily on hardware reliability, less digital protection software reliability study.The purpose of this article is to study digital protection software reliability assessment method based on software module structure. Through the existing digital protection software reliability, performance and agility make quantitative prediction and evaluation, we analye the reliable type of digital protection software.This paper uses a "gray box" approach, namely the use of I-M chain approach. Then we come true the reliability analysis of digital protection software.

Estimation of reactor protection system software failure probability considering undetected faults

Over the years, the probabilistic safety assessment (PSA) of digital reactor protection systems (RPSs) has been a field of research because of the ambiguity over the mechanism of the software failure and quantification of the failure probability. Currently, the software failure probability in the PSA of a nuclear power plant (NPP) is determined mostly based on expert elicitation. Although a number of software reliability assessment methods are available, none of them appears to be compatible to assess the failure probability of safety grade software in an NPP. Quantification of the software reliability becomes challenging, especially when the software reveals no test failures. This paper proposes an integrated approach for an estimation of the probability of failure on demand of safety critical software considering its undetected residual faults. In the proposed approach, the software reliability can be quantified by incorporating the BBN modeling approach, test results, and operational experiences. A case study is also presented by employing the proposed method. The proposed approach is expected to be helpful for a probabilistic safety analysis of a digital I&C system.

SOFTWARE RELIABILITY ASSESSMENT USING EXPONENTIAL-TYPE CHANGE-POINT HAZARD RATE MODELS

We discuss software hazard rate modeling with a change of testing-environment and a software reliability assessment method based on the proposed software hazard rate models. A software hazard rate model is known as one of the important and useful mathematical models for describing the software failure-occurrence phenomenon and conducting quantitative software reliability assessment. Taking into consideration of the effect of the change in software reliability growth modeling is expected to conduct more accurate software reliability assessment because it is said that such approach enables us to conduct more plausible software reliability assessment reflecting the actual testing-environment. Especially in this paper, we develop exponential-type software hazard rate models with effect of change-point and a software reliability assessment method based on our models. Finally, we show numerical examples for our models and results of model comparisons with existing software hazard rate models by using actual data.

AIR application for reliability analysis considering debugging process and network traffic in mobile clouds

Mobile clouds are used by many people via a network service to share the computing resources, because of the unification management of data and low cost. In case of the mobile device, the network access devices are frequently used by many software installed via the installer software. Considering the effect of the debugging process on mobile software in the development of a method of reliability assessment for the mobile clouds, it is necessary to grasp the situation of installer software, the network traffic, the installed software, etc.In this paper, we develop an integrated method of reliability assessment considering the software failure and network traffic based on a hazard rate model and neural network for the mobile clouds. In particular, we develop the AIR application for reliability analysis based on the proposed method. Then, we show the performance examples of the developed AIR application to analyze the method of software reliability assessment for the mobile clouds.

Reliability assessment based on hazard rate model for an embedded OSS porting‐phase

SUMMARYEmbedded Open Source Software (OSS) systems have been gaining a lot of attention in the embedded system area. The successful experience of embedded OSSs include Android, BusyBox, TRON, etc. Also, OSS market will be expanded not only to mobile phone OSS areas but also to other embedded OSS areas in the future. However, the poor handling of quality problem and customer support prohibit the progress of embedded OSS. Also, it is difficult for developers to assess the reliability and portability of embedded OSS on a single‐board computer. A method of software reliability assessment based on flexible hazard rate modeling for the embedded OSS is proposed in this paper. Also, several numerical examples are shown by using actual data. Moreover, this paper compares the proposed model with the conventional hazard rate models by using the comparison criteria of goodness‐of‐fit. Copyright © 2011 John Wiley & Sons, Ltd.

AN EMBEDDED OSS RELIABILITY AND OPTIMIZATION ANALYSIS INCORPORATING IMPERFECT DEBUGGING

As a result of the technological progress, software development environment has changed into development paradigm based on client/server systems by using network computing technologies. Network technologies have made rapid progress with the dissemination of computer systems in all areas. These network technologies become increasingly more complex in a wide sphere. Especially, open source software systems which serve as key components of critical infrastructures in the society are still ever-expanding now. In this paper, we propose a method of software reliability assessment based on stochastic differential equations. Especially, we derive several assessment measures in terms of imperfect debugging. Also, we analyze actual software fault-count data to show numerical examples of software reliability assessment for an embedded open source software. Further, it has been necessary to manage the software development process in terms of reliability, effort, and release time. Then, we find the optimal release time based on the total expected software maintenance effort.

Software reliability modeling in distributed development environment

PurposeThe aim of this paper is to propose a software reliability growth model based on stochastic differential equations for the integration testing phase of distributed development environment.Design/methodology/approachA client/server system (CSS), which is a new development method, has come into existence as a result of the progress of networking technology by UNIX systems. On the other hand, the effective testing method for distributed development environment has only a few presented. The method of software reliability assessment considering the interaction among software components in a distributed one is discussed.FindingsConventional software reliability growth models for system testing phase in distributed development environment have included many unknown parameters. Especially, the effective estimation method in terms of these unknown parameters, which means the proportion of the total testing‐load for the software component, has never been presented. This software reliability growth model can be easily applied in distributed software development, because the model has a simple structure.Practical implicationsThis model is very useful for software developers in terms of practical reliability assessment in the actual distributed development environment.Originality/valueThe method of software reliability assessment considering the interaction among software components in distributed development environment is proposed. Additionally, several numerical examples for the actual data are presented.

Comparison of Software Reliability Assessment Methods for Open Source Software and Reliability Assessment Tool

We propose software reliability assessment methods for concurrent distributed system development by using the Analytic Hierarchy Process. Also, we make a comparison between the inflection S-shaped software reliability growth model and the other models based on a nonhomogeneous Poisson process applied to reliability assessment of the entire system composed of several software components. Moreover, we analyze software fault count data to show numerical examples of software reliability assessment for the open source project. Furthermore, we investigate an efficient software reliability assessment method for the open source system development. Also, we develop the software testing-management tool for open source software system by using Java programming language. We show several performance examples of the software testing-management tool for the open source software.

A software reliability assessment method based on neural networks for distributed development environment

AbstractThe software development environment has been changing into a new development paradigm in CSSs (client/server systems) by the use of network computing technologies. Therefore, it is important to assess the reliability of software system in a distributed development environment because of increasing demands on quality and productivity in social systems. However, it is difficult to assess software reliability in recent years because the complexity of software systems has been increasing as a result of distributed system development.In this paper, we propose a software reliability assessment method considering the interaction among software components in the system‐testing phase of a distributed development environment. © 2003 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 86(11): 13–20, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.10092

Software Reliability Assessment Methods : Theory and Current Status

Software Reliability Assessment Methods : Theory and Current Status

Software reliability measurement and assessment methods during operation phase and their comparisons

AbstractThis paper attempts to relate the testing phase, which is the final stage of the software development and the operation phase after the release. It discusses the occurrence of the software failure due to the errors latent in the software. The event of detecting the software error in the testing phase is described by the software reliability growth model based on a nonhomogeneous Poisson process.As to the assessment of the software reliability in the operation phase, i.e., the operational reliability, three assessment techniques are discussed. They are the method to introduce the environment factor considering the number of errors remaining at the end of the testing, the method based on the hazard rate, and the method based on the cumulative failure rate. Finally, the result of the analysis of the software reliability data is presented. Numerical examples of the assessment methods for the operational reliability are discussed and the results are compared.