• Korean Journal of Culture and Social Issue
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• 제26권3호
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• pp.195-220
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• 2020

The purpose of this study was to validate the Korean version of the post-traumatic growth inventory-expanded(K-PTGI-X), which has been widely used to assess posttraumatic growth. The PTGI-X is a measure of the addition of the items to measure the existential growth as the need for modification to the factors of the 'increase of spiritual interest' in the existing PTGI is suggested. We examined the factor structure, reliability, and validity of a Korean version of the PTGI-X among 625 Korean adults who have experienced trauma events. First, EFA confirmed the appropriate PTGI-X factor structure and found that the 4-factor structure was the most appropriate. Next, as a result of CFA, it was found that the model to which correlation between items was added to the 4-factor model was good. Next, testing internal consistency, CR, and AVE of the K-PTGI-X showed that PTGI-X's items are reliable. Also, we tested the concurrent validity and discriminative validity. All of the K-PTGI-X scales significantly correlated with measures of deliberate rumination and core-belief except for the intrusive rumination. Finally, to add an understanding of K-PTGI-X, t-test according to demographic variables was conducted. Recommendations for future research and implications were discussed.

• Journal of Korean Society for Quality Management
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• 제26권3호
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• pp.71-81
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• 1998

In reliability analysis, the time difference between the expected next failure time and the current failure time or the Mean Time Between Failure(MTBF) is of significant interest. Until recently, in reliability growth studies, the reciprocal of the intensity function at current failure time has been used as being equal to MTBE($t_n$)at the n-th failure time $t_n$. That is MTBF($t_n$)=l/$\lambda (t_n)$. However, such a relationship is only true for Homogeneous Poisson Process(HPP). Tsokos(1995) obtained the upper bound and lower bound for the MTBF($t_n$) and proposed an estimator for the MTBF($t_n$) as the mean of the two bounds. In this paper, we provide the estimator for the MTBF($t_n$) which does not depend on the value of the shape parameter. The result of the Monte Carlo simulation shows that the proposed estimator has better efficiency than Tsokos's estimator.

• Journal of Korean Society of Industrial and Systems Engineering
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• 제36권4호
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• pp.100-108
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• 2013

In aerospace industry, MTBF (Mean Time Between Failure) and MFTBF (Mean Flight Time Between Failure) are generally used for reliability analysis. So far, especially to Korean military aircraft, MFTBF of avionic equipments is predicted by MIL-HDBK-217 and MIL-HDBK-338, however, the predicted MFTBF by military standard has a wide discrepancy to that of real-world operation, which leads to overstock and increase operation cost. This study analyzes operational data of avionic equipments. Operational MFTBF, which is calculated from operational data, is compared with predicted MFTBF calculated conventionally by military standard. In addition, failure rate trend is investigated to verify reliability growth in operational data, the investigation shows that failure rate curve from operational data has somewhat pattern with decreased failure rate and constant failure rate.

• Journal of the Korea Society of Computer and Information
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• 제12권6호
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• pp.89-96
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• 2007

Finite failure NHPP models presented in the literature exhibit either constant. monotonic increasing or monotonic decreasing failure occurrence rates per fault. Accurate predictions of software release times. and estimation of the reliability and availability of a software product require quality of a critical element of the software testing process : test coverage. This model called Enhanced non-homogeneous Poission process(ENHPP). In this paper, exponential coverage and S-type model was reviewed, proposes modified(the superosition and mixture) model, which make out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method. model selection based on SSE statistics for the sake of efficient model, was employed.

• Convergence Security Journal
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• 제7권3호
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• pp.7-13
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• 2007

Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. Accurate predictions of software release times, and estimation of the reliability and availability of a software product require quantification of a critical element of the software testing process : test coverage. This model called Enhanced non-homogeneous poission process (ENHPP). In this paper, exponential coverage and S-shaped model was reviewed, proposes the superposition model, which maked out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE statistics for the sake of efficient model, was employed.

• Convergence Security Journal
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• 제8권4호
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• pp.115-120
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• 2008

Accurate predictions of software release times, and estimation of the reliability and availability of a software product require quantification of a critical element of the software testing process： Change-point problem. In this paper, exponential (Goel-Okumoto) model was reviewed, proposes the percentile change-point problem, which maked out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE statistics, for the sake of efficient model, was employed. Using NTDS data, The numerical example of percentilechange-point problemi s presented.

• The Transactions of the Korea Information Processing Society
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• 제5권10호
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• pp.2575-2583
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• 1998

The productionof the highly relible softwae systems and theirs performance evaluation hae become important interests in the software industry. The software evaluation has been mainly carried out in ternns of both reliability and performance of software system. Software reliability is the probability that no software error occurs for a fixed time interval during software testing phase. These theoretical software reliability models are sometimes unsuitable for the practical testing phase in which a software error at a certain testing stage occurs by causes of the imperfect debugging, abnornal software correction, and so on. Such a certatin software testing stage needs to be considered as an outlying stage. And we can assume that the software reliability does not improve by means of muisance factor in this outlying testing stage. In this paper, we discuss Bavesian software reliability growth modeling and estimation procedure in the presence of an imidentitied outlying software testing stage by the modification of Jehnski Moranda. Also we derive the Bayes estimaters of the software reliability panmeters by the assumption of prior information under the squared error los function. In addition, we evaluate the proposed software reliability growth model with an unidentified outlying stage in an exchangeable model according to the values of nuisance paramether using the accuracy, bias, trend, noise metries as the quantilative evaluation criteria through the compater simulation.

• Journal of the Institute of Electronics Engineers of Korea CI
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• 제40권2호
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• pp.26-37
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• 2003

An optimal software release, which is related to the development cost, error detection and correction under the various operation systems, is a critical factor for managing project. This paper described optimal software release issues to predict the release time of large switching system with the system stability point of view and evaluated a timely supply of target system, proper utilization of resources under the software reliability valuation basis. Finally, Using initial failure data, based on the exponential reliability growth model methodology, optimal release time, and analysis of failure data during the system testing and managing methodologies were presented.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.585-589
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• 2002

본 연구에서는 소프트웨어의 출시 이후 주기적인 보수(periodic maintenance)를 고려한 출시 시기 결정 방법을 제시하였다. 출시시기 결정방법에 관한 연구는 소프트웨어의 신뢰성 확보, 사용자 편의성 등에 관한 연구와 더불어 중요한 연구 분야로 여겨지는 분야이다. 일반 적으로 소프트웨어는 출시 이후에도 패치(patch), 서비스팩(service pack)등을 통해 지속적인 보수가 이루어지기 때문에, 출시 이후의 보수를 고려하여 출시시기를 결정하는 방법론이 필요하다. 이를 위해, 출시 이후의 보수정책을 반영한 소프트웨어 신뢰성 성장 모형(software reliability growth model)을 도출하였다. 위 모형을 기반으로 하여 비용과 신뢰성에 근거한 소프트웨어 출시 시점을 결정해 보았다. 제시된 모형의 타당성을 검증하기 위해 예제를 통해 기존의 논문에서 제시되었던 결과들과 비교분석을 해 보았다. 본 연구의 결과는 기존 연구에서 고려되지 않았던 보수 정책을 고려함으로써, 보다 현실에 가까운 모형을 제시하였다는 점에서 의의를 찾을 수 있고, 출시 후 보수 시점, 보수 정책 등의 결정에도 기여할 수 있을 것이다.

• Transactions of the Korean Society of Mechanical Engineers
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• 제14권6호
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• pp.1583-1591
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• 1990

Life prediction and residual life prediction of structures of machines are one of the most strongly world wide needed problems as requirement in the stage of slowly developing economy which comes after rapidly and highly developing stage. For the purpose of statistical life prediction, fatigue test was conducted under the 4 stress levels, and for each stress level, about 20 specimens are used. The statistical properties of crack growth parameter m and C in the fatigue crack growth law of da/dN=C(.DELTA.K)sup m/, and the relationship between m and C, and the statistical distribution pattern of fatigue crack growth rate can be obtained by experimental results.