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NHPP 극값 분포 소프트웨어 신뢰모형에 대한 학습효과 기법 비교 연구
김희철 (사)디지털산업정보학회 2011 디지털산업정보학회논문지 Vol.7 No.2
In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The finite failure non-homogeneous Poisson process models presented and the life distribution applied extreme distribution which used to find the minimum (or the maximum) of a number of samples of various distributions. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than automatic error that is generally efficient model could be confirmed. This paper, a numerical example of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error.
반-로지스틱과 로그로지스틱 NHPP 분포 특성을 이용한 소프트웨어 최적방출시기 비교 연구
김희철 (사)디지털산업정보학회 2013 디지털산업정보학회논문지 Vol.9 No.2
In this paper, make a study decision problem called an optimal release policies after testing a software system in development phase and transfer it to the user. In the course of correcting or modifying the software, finite failure non-homogeneous Poisson process model,presented and was proposed release policies of the life distribution, half-logistic and log-logistic distributions model which used to an area of reliability because of various shape and scale parameter. In this paper, discuss optimal software release policies which minimize a total average software cost of development and maintenance under the constraint of satisfying a software reliability requirement. In a numerical example, the parameter estimation using maximum likelihood estimation of failure time data make out, and software optimal release time was estimated.
지수 가중 이동 평균 관리도를 이용한 소프트웨어 고장 시간 비교분석에 관한 연구
김희철,신현철 한국융합보안학회 2008 융합보안 논문지 Vol.8 No.3
소트프웨어 고장 시간은 테스팅 시간과 관계없이 일정하거나. 단조증가 혹은 단조 감소 추세를 가지고 있다. 이러한 소프트웨어 신뢰모형들을 분석하기 위한 자료척도로 자료에 대한 추세 검정 이 개발되어 있다. 추세 분석에는 산술평균 검정과 라플라스 추세 검정등이 있다. 추세분석들은 전체적인 자료의 개요의 정보만 제공한다. 본 논문에서는 고장시간을 측정하는 도중에 지수가중 이동 평균 관리도를 이용하여 관리 상태에 있는 자료만 가지고 정보분석을 해야 효율성이 있을 것으로 판단된다. 따라서 본 논문에서는 기존의 추세 검정과 지수가중이동평균 관리도를 사용하 여 실제 소프트웨어 자료를 비교 분석하는 것을 목표로 하고 있다. 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 exponentially weighted moving average chart, in measuring failure time. In control, exponentially weighted moving average chart’s uses are efficiency case of analysis with knowing information, Using real software failure time, we are proposed to use exponentially weighted moving average chart and comparative analysis of software failure time.
Rayleigh형과 Burr형 NHPP 소프트웨어 신뢰모형에 관한 통계적 공정관리 접근방법 비교연구
김희철 (사)디지털산업정보학회 2014 디지털산업정보학회논문지 Vol.10 No.2
Software reliability in the software development process is an important issue. Softwareprocess improvement helps in finishing with reliable software product. In this field, SPC(Statistical process control) is a method of process management through application ofstatistical analysis, which involves and includes the defining, measuring, controlling, andimproving of the processes. The proposed process involves evaluation of the parameter ofthe mean value function and hence the values of the mean value function at various interfailure times to develop relevant time control chart. In this paper, was proposed a controlmechanism, based on time between failures observations using Rayleigh and Burrdistribution property, which is based on Non Homogeneous Poisson Process (NHPP). In this study, the proposed model is reliable in terms of hazard function, because it ismore efficient in this area can be used as an alternative to the existing model. Through thisstudy, software developers are considered by the various intended functions, priorknowledge of the software to identify failure modes to feed to some extent shall be able tohelp.