• 제목/요약/키워드: Mean value model

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로그형 평균값함수를 고려한 소프트웨어 신뢰성모형에 대한 비교연구 (A Comparative Study of Software Reliability Model Considering Log Type Mean Value Function)

  • 신현철;김희철
    • 디지털산업정보학회논문지
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    • 제10권4호
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    • pp.19-27
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    • 2014
  • Software reliability in the software development process is an important issue. Software process improvement helps in finishing with reliable software product. Infinite failure NHPP software reliability models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, proposes the reliability model with log type mean value function (Musa-Okumoto and log power model), which made out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on mean square error (MSE) and coefficient of determination($R^2$), for the sake of efficient model, was employed. Analysis of failure using real data set for the sake of proposing log type mean value function was employed. This analysis of failure data compared with log type mean value function. In order to insurance for the reliability of data, Laplace trend test was employed. In this study, the log type model is also efficient in terms of reliability because it (the coefficient of determination is 70% or more) in the field of the conventional model can be used as an alternative could be confirmed. From this paper, software developers have to consider the growth model by prior knowledge of the software to identify failure modes which can be able to help.

Parameter Estimation and Prediction for NHPP Software Reliability Model and Time Series Regression in Software Failure Data

  • Song, Kwang-Yoon;Chang, In-Hong
    • 통합자연과학논문집
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    • 제7권1호
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    • pp.67-73
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    • 2014
  • We consider the mean value function for NHPP software reliability model and time series regression model in software failure data. We estimate parameters for the proposed models from two data sets. The values of SSE and MSE is presented from two data sets. We compare the predicted number of faults with the actual two data sets using the mean value function and regression curve.

Predictions of MLE and LSE in NHPP Software Reliability Model

  • Song, Kwang-Yoon;Chang, In-Hong;Lee, Seung-Woo
    • 통합자연과학논문집
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    • 제6권2호
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    • pp.111-117
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    • 2013
  • We propose a mean value function for software failures in NHPP software reliability model. And we deal with the maximum likelihood estimation and the least squares estimation in the proposed mean value function. The explicit mean value function solution for the proposed model is presented by MLE and LSE in two data sets. The values of SSE and MSE is presented in two data sets by MLE and LSE. We compare the predicted number of faults with the actual two data sets using the proposed mean value function.

불완전 결함 발견과 구문 반복 실행을 고려한 커버리지 기반 신뢰성 성장 모형 (A Coverage-Based Software Reliability Growth Model for Imperfect Fault Detection and Repeated Construct Execution)

  • 박중앙;박재홍;김영순
    • 정보처리학회논문지D
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    • 제11D권6호
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    • pp.1287-1294
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    • 2004
  • 최근 소프트웨어 신뢰성을 평가하기 위해 신뢰성 측도와 커버리지 간의 관계가 연구되고 있다. 특히 커버리지에 기반한 소프트웨어 신뢰성 성장 모델에서 평균치 함수는 소프트웨어의 신뢰성 성장을 나타내는데 매우 중요한 역할을 한다. 본 논문은 커버리지에 기반한 기존 모형들의 문제점을 평균치 함수와 그 모형이 근거하는 가정을 바탕으로 파악하고, 그 문제점을 해결하기 위한 새로운 평균치 함수를 제안한다. 제안된 새로운 평균치 함수는 불완전 결함 발견과 구문의 반복 실행이 허용되는 일반적인 테스팅 환경에서 도출된 결과이다. 마지막으로 실제 데이터에 제안된 모형을 적용하여 그 성능을 평가한다.

수명분포가 지수화-지수분포를 따르는 소프트웨어 신뢰모형 특성에 관한 연구 (A Study on the Characteristics of Software Reliability Model Using Exponential-Exponential Life Distribution)

  • 김희철;문송철
    • Journal of Information Technology Applications and Management
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    • 제27권3호
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    • pp.69-75
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    • 2020
  • In this paper, we applied the shape parameters of the exponentialized exponential life distribution widely used in the field of software reliability, and compared the reliability properties of the software using the non-homogeneous Poisson process in finite failure. In addition, the average value function is also a non-decreasing form. In the case of the larger the shape parameter, the smaller the estimated error in predicting the predicted value in comparison with the true value, so it can be regarded as an efficient model in terms of relative accuracy. Also, in the larger the shape parameter, the larger the estimated value of the coefficient of determination, which can be regarded as an efficient model in terms of suitability. So. the larger the shape parameter model can be regarded as an efficient model in terms of goodness-of-fit. In the form of the reliability function, it gradually appears as a non-increasing pattern and the higher the shape parameter, the lower it is as the mission time elapses. Through this study, software operators can use the pattern of mean square error, mean value, and hazard function as a basic guideline for exploring software failures.

지수 형 수명분포를 따르는 소프트웨어 신뢰모형 분석에 관한 연구 (A Study on the Software Reliability Model Analysis Following Exponential Type Life Distribution)

  • 김희철;문송철
    • Journal of Information Technology Applications and Management
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    • 제28권4호
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    • pp.13-20
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    • 2021
  • In this paper, I was applied the life distribution following linear failure rate distribution, Lindley distribution and Burr-Hatke exponential distribution extensively used in the arena of software reliability and were associated the reliability possessions of the software using the nonhomogeneous Poisson process with finite failure. Furthermore, the average value functions of the life distribution are non-increasing form. Case of the linear failure rate distribution (exponential distribution) than other models, the smaller the estimated value estimation error in comparison with the true value. In terms of accuracy, since Burr-Hatke exponential distribution and exponential distribution model in the linear failure rate distribution have small mean square error values, Burr-Hatke exponential distribution and exponential distribution models were stared as the well-organized model. Also, the linear failure rate distribution (exponential distribution) and Burr-Hatke exponential distribution model, which can be viewed as an effectual model in terms of goodness-of-fit because the larger assessed value of the coefficient of determination than other models. Through this study, software workers can use the design of mean square error, mean value function as a elementary recommendation for discovering software failures.

삼각망의 형상 변형 (Shape Deformation of Triangular Net)

  • 유동진
    • 한국정밀공학회지
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    • 제24권11호
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    • pp.134-143
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    • 2007
  • A new approach based on mean value coordinate combined with Laplacian coordinate is proposed for shape deformation of a large polygon model composed of triangular net. In the method, the spherical mean value coordinates for closed control meshes is introduced to describe a vertex in the triangle meshes to be deformed. Furthermore, the well known quardratic least square method for the Laplacian coordinates is employed in order to deform the control meshes. Because the mean value coordinates are continuous and smooth on the interior of control meshes, deforming operation of control meshes change the shape of polygon model while preserving the intrinsic surface detail. The effectiveness and validity of this novel approach was demonstrated by using it to deform large and complex polygon models with arbitrary topologies.

건강성인의 혈구 참고치 산정 (Hematological Reference Values in the Healthy Adults)

  • 김영진;현명수;이현우
    • Journal of Yeungnam Medical Science
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    • 제8권1호
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    • pp.154-165
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    • 1991
  • 1) 건강한 성인 2823명을 대상으로 자동혈구 계산기인 Coulter Counter Model S plus II를 이용하여 본원의 참고치를 설정하였다. 산출된 참고치는 기기의 설명서에 제시되어 임상 의사들이 사용하고 있는 참고치와 차이가 있었다. 2) 국내의 보고들과 비교해 볼 때 본원의 참고치와 대체로 비등하였고 기기의 설명서에 제시된 참고치와는 차이가 있으므로 본원의 참고치률 설정하여 사용하여야 하겠다. 3) 결과는 다음과 같다. (1) 백혈구 수는 남자 $6.800{\pm}2.680(2SD)/{\mu}l$, 여자 $5.950{\pm}2.380(2SD)/{\mu}l$ 이었다. (2) 적혈구 수는 남자 $428{\pm}60(2SD){\times}10^4/{\mu}l$, 여자 $415{\pm}56(2SD){\times}10^4/{\mu}l$ 이었다. (3) 혈색소량은 남자 $15.4{\pm}1.8(2SD)g/dL$, 여자 $13.0{\pm}1.6(2SD)g/dL$ 이었다. (4) 적혈구 용적은 남자 $45.3{\pm}5.0(2SD)%$, 여자 $38.2{\pm}4.6(2SD)%$ 이었다. (5) 평균 적혈구 용적은 남자 $93.8{\pm}5.8(2SD)fL$, 여자 $92.2{\pm}7.4(2SD)fL$ 이었다. (6) 평균 적혈구 혈색소량은 남자 $31.8{\pm}2.2(2SD)pg$, 여자 $31.4;{\pm}2.8(2SD)pg$ 이었다. (7) 평균 적혈구 혈색소농도는 남자 $34.0{\pm}1.2(2SD)%$, 여자 $33.9{\pm}1.2(2SD)%$ 이었다. (8) 적혈구 분포 폭은 남자 $12.7{\pm}1.0(2SD)%$, 여자 $12.6{\pm}1.4(2SD)%$ 이었다. (9) 혈소판 수는 남자 $242.9{\pm}87.8(2SD){\times}10^4/{\mu}l$, 여자 $242.2{\pm}89.0(2SD){\times}10^4/{\mu}l$ 이었다. (10) 혈소판 용적은 남자 $0.201{\pm}0.076(2SD)%$, 여자 $0.204{\pm}0.076(2SD)%$ 이었다. (11) 평균 혈소판 용적은 남자 $8.20{\pm}1.70(2SD)fL$, 여자 $8.36{\pm}1.82(2SD)fL$ 이었다. (12) 혈소판 분포 폭은 남자 $16.1{\pm}0.8(2SD)%$, 여자 $16.0{\pm}0.8(2SD)%$ 이었다.

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TRUNCATED SOFTWARE RELIABILITY GROWTH MODEL

  • Prince Williams, D.R.;Vivekanandan, P.
    • Journal of applied mathematics & informatics
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    • 제9권2호
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    • pp.761-769
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    • 2002
  • Due to the large scale application of software systems, software reliability plays an important role in software developments. In this paper, a software reliability growth model (SRGM) is proposed. The testing time on the right is truncated in this model. The instantaneous failure rate, mean-value function, error detection rate, reliability of the software, estimation of parameters and the simple applications of this model are discussed .

A Technique of Parameter Identification via Mean Value and Variance and Its Application to Course Changes of a Ship

  • Hane, Fuyuki;Masuzawa, Isao
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1999년도 제14차 학술회의논문집
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    • pp.153-156
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    • 1999
  • The technique is reported of identifying parameters in off-line process. The technique demands that closed-loop system consists of a reference and two-degree-of-freedom controllers (TDFC) in real process. A model process is the same as the real process except their parameters. Deviations are differences between the reference and the output of the plant or the model. The technique is based on minimizing identification error between the two deviations. The parameter differences between the plant and the model are characterized of mean value and of variance which are derived from the identification error. Consequently, the algorithm which identifies the unknown plant parameters is shown by minimizing the mean value and the variance, respectively, within double convergence loops. The technique is applied to course change of a ship. The plant deviation at the first trial is shown to occur in replacing the nominal parameters by the default parameters. The plant deviation at the second trial is shown to not occur in replacing the nominal parameters by the identified parameters. Hence, the identification technique is confirmed to be feasible in the real field.

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