• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.3
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• pp.278-284
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• 2016

Software reliability in the software development process is an important issue. In infinite failure NHPP software reliability models, the fault occurrence rates may have constant, monotonic increasing or monotonic decreasing pattern. In this paper, infinite failures NHPP models that the situation was reflected for the fault occurs in the repair time, were presented about comparing property. Commonly, the software model of the infinite failures using the linear hazard rate distribution software reliability based on intercept parameter was used in business economics and actuarial modeling, was presented for comparison problem. The result is that a relatively large intercept parameter was appeared effectively form. The parameters estimation using maximum likelihood estimation was conducted and model selection was performed using the mean square error and the coefficient of determination. The linear hazard rate distribution model is also efficient in terms of reliability because it (the coefficient of determination is 90% or more) in the field of the conventional model can be used as an alternative model could be confirmed. From this paper, the software developers have to consider intercept parameter of life distribution by prior knowledge of the software to identify failure modes which can be able to help.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.194.1-194.1
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• 2012

우주비행체의 내부 장치 고장 혹은 외부 환경에 의한 고장이 발생할 경우를 대비하여 가상 모의 시뮬레이터를 이용한 고장 대응 훈련이 요구된다. 시뮬레이터 개발 초기에 이러한 고장 발생 메커니즘을 설계에 반영하지 않는 경우 교관이 작성한 고장 시나리오에 의한 유기적 고장 발생 및 고장 전파 기능을 납품 후 추가 요구하기는 용이하지 않다. 본 논문에서는 사용자가 시뮬레이터를 이용하여 의도하는 고장을 의미있는 시각(Epoch)에 주입하기 위한 고장 발생 메커니즘 구조를 설명한다. 또한 천리안위성 시뮬레이터 소프트웨어의 고장 발생 예제를 통해 고장 감지, 고장 복구, 관제원의 대응 방법 등을 설명한다.

• Journal of KIISE:Software and Applications
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• v.27 no.4
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• pp.393-401
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• 2000

This paper explores neuro-fuzzy system in order to improve the software reliability predictability from failure data. We perform numerical simulations for actual 10 failure count and 4 failure time data sets from different software projects with the various number of rules. Comparative results for next-step prediction problem is presented to show the prediction ability of the neuro-fuzzy system. Experimental results show that neuro-fuzzy system is adapt well across different software projects. Also, performance of neuro-fuzzy system is favorably with the other well-known neural networks and statistical SRGMs.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.20-26
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• 2019

In this study, the optimal shape parameter condition is presented after analyzing the attributes of the software reliability model according to the change of the shape parameter of Loma life distribution with infinite fault NHPP. In order to analyze the software failure phenomena, the parametric estimation method was applied to the Maximum Likelihood Estimation method, and the nonlinear equation was applied to the bisection method. As a result, it was found that when the attributes according to the change of the shape parameter are compared, the smaller the shape parameter is, the better the prediction ability of the true value, and reliability attributes are efficient. Through this study, it is expected that software developers can increase reliability by preliminarily grasping the type of software failure based on shape parameter, and can be used as basic information to improve the software reliability attributes.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.143-149
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• 2015

This study aims to analyze the predict capability of some of the popular software NHPP reliability models(Goel-Okumo model, delayed S-shaped reliability model and Rayleigh distribution model). The predict capability analysis will be on two key factors, one pertaining to the degree of fitment on available failure data and the other for its prediction capability. Estimation of parameters for each model was used maximum likelihood estimation using first 80% of the failure data. Comparison of predict capability of models selected by validating against the last 20% of the available failure data. Through this study, findings can be used as priori information for the administrator to analyze the failure of software.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.219-226
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• 2014

In this study, reliability software cost model considering shape parameter based on life distribution from the process of software product testing was studied. The shape parameter using the Erlang and Log-logistic model that is widely used in the field of reliability problems presented. The software failure model was used finite failure non-homogeneous Poisson process model, the parameters estimation using maximum likelihood estimation was conducted. In comparison result of software cost model based on the Erlang distribution and the log-logistic distribution software cost model, because Erlang model is to predict the optimal release time can be software, but the log-logistic model to predict to optimal release time can not be, Erlang distribution than the log-logistic distribution appears to be effective. In this research, software developers to identify software development cost some extent be able to help is considered.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.8
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• pp.1915-1925
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• 1998

The switching system software is large scale, real-time multi-task system which requires high reliability. The reliability assessment of large-scale software is very important for the success of software development project. For this raeson, the software quality measurement is much more important. In this paper, we have learned about the software reliability, metho of the analysis of failure data and estimation of software quality. To estimate the software reliability, using the failure data found during of the system test. We apply the two software reliability growth models, named Goel-Okumoto(G-O) and S-shaped model, to estimate the software reliability. Also, we compared with the results and we reviewed fully not only development cycle but validation and verification of the test data, for each software versions. This paper presents a software reliability model that suitale the software development project and the activeity of quality control for the switching system.

• ETRI Journal
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• v.14 no.4
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• pp.67-79
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• 1992

본 고에서는 TDX-10 제어계 이중화 설계 및 구현에 대하여 기술한다. 전전자 교환 시스팀은 높은 신뢰도와 가용성을 유지하여야 하며, 또한 시스팀 차원에서의 고장감내 기능이 요구되는데, TDX-10 제어계에서는 이중화 방식의 하드웨어 및 소프트웨어로서 고장감내의 요구조건을 충족시키고 있다. 본 논문에서 제안하고 구현한 TDX-10 제어계 이중화는 프로세서 고장에 대하여 신속한 대처 방안을 단계별로 구분, 적절히 조치함으로써 시스팀 및 응용 교환 소프트웨어에 영향과 부담을 최소화 하며 교환 서비스의 연속성을 보장해 주고 있다. 이중화 소프트웨어는 상태관리, 상태천이 제어, 장애감지, 장애분류 및 처리, 사용자 인터페이스 기능으로 구성되어 고장감내를 위한 목적을 달성하고 있다.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.05a
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• pp.333-339
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• 1996

최근에 개량형 또는 수동형 발전소의 디지탈 보호계통에서 소프트웨어의 역할이 증가함에 따라 공통원인고장의 가능성이 중요한 관심사항이 되었다. 아날로그 보호계통에서는 공통원인고장 가능성이 없었으며, 비록 공통원인고장이 발생하더라도 부식과 조기마모와 같은 과정은 천천히 진행되므로 이제까지 큰 문제가 되지 않았다. 이러한 아날로그 설계의 특징은 컴퓨터를 이용한 소프트웨어를 포함하고 있는 디지탈계통에는 적용되지 않는다. 본 논문에서는 소프트웨어의 공통원인고장을 고려하여 원자로 보호계통의 적합성을 다양성 및 심층방어 측면에서 해석할 수 있는 방법론에 대하여 논의한다. 본 논문의 결과는 추후에 한국형 차세대 원자로(KNGR)의 계측제어계통 설계를 위하여 수행하여야 할 다양성 및 심층방어 해석의 방법론 정립에 도움이 될 것으로 예상된다.

• Convergence Security Journal
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• v.11 no.3
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• pp.19-24
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• 2011

Software failure time presented in the literature exhibit either constant monotonic increasing or monotonic decreasing, For data analysis of software reliability model, data scale tools of trend analysis are developed. The methods of trend analysis are arithmetic mean test and Laplace trend test. Trend analysis only offer information of outline content. In this paper, we discuss forecasting failure time case of failure time censoring. In this study, time series analys is used in the simple moving average and weighted moving averages, exponential smoothing method for predict the future failure times, Empirical analysis used interval failure time for the prediction of this model. Model selection using the mean square error was presented for effective comparison.