• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.4
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• pp.13-24
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• 2016

Defense Acquisition Program Administration's weapon system software development and management guideline specifies the criteria of software reliability tests including static and dynamic tests mainly on C/C++ languages. Recently, Defense Acquisition Program Administration expanded the scope of software reliability test for the various languages including C#, java etc. but specific criteria for them are not established. This study suggests the reliability test procedures and standards on C# programming software in weapon system. For the static test, considering the nature of the C# which depends on .NET framework, this paper introduces applying coding rules recommended by Microsoft Corp. Visual Studio 2012. Block coverage provided by Visual Studio is applied on dynamic tests and the achievement objectives for block coverage according to the software levels(A, B, C) are suggested. Also, the software reliability test procedures and standards proposed by this paper are properly verified through the case study. The result of this study can be used for establishing the specific criteria of the software reliability test for C# programming software in weapon system.

• Journal of Korean Society for Quality Management
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• v.31 no.1
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• pp.11-20
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• 2003

In the development of a complex systems, the early prototypes generally have reliability problems, and, consequently these systems are subjected to a reliability growth program to find problems and take corrective action. A variety of models have been proposed to account for the reliability growth phenomena. Clear guidelines need to be established to assist the reliability engineers for model selection. In this paper, some of more well-known growth models are surveyed and classified. These models are classified based upon distinguishing model features. A procedure for model selection is introduced which is based on this classification.

• Journal of Applied Reliability
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• v.10 no.1
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• pp.57-64
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• 2010

The HANARO nuclear research reactor had been operated successfully and smoothly up to the year 2008 since its first year of instability in year 1995 just after the completion of construction. But the reliability of the reactor has been degraded from the year 2009 due to new experimental facilities such as Feul Test Loop(FTL) and Cold Neutron Source(CNS) which were installed in the HANARO plant. It turned out that these new facilities contributed unexpected stoppage of the plant. This paper describes causes of stoppage and suggestions to improve the reliability of the plant.

• Asia pacific journal of information systems
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• v.16 no.3
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• pp.193-203
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• 2006

Software reliability prediction is a statistical method to put in place a timely software development practice useful for objective assessment of bidders. The current study suggests one research method that enables reliability assessment of such previous projects by studying user satisfaction and project management history. If incorporated into the existing acquisition process, the reliability assessment method will further enhance objectivity and accuracy in bidder selection process. The GQM(Goal Question Metric) paradigm was used to identify assessment metrics for bidder evaluation and questionnaires were collected from users to create user satisfaction indexes. In addition, 'weight of evidence', the most appropriate categorical method, was used to isolate attributes of each variable that may contribute to reliability assessment.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.1463-1472
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• 2008

The present paper to relate with the maintenance of the high-speed vehicle, KTX and is to treat a reliability evaluation. The reliability of the high-speed vehicle while operating between-failure average mileage (MKBSF) and parts between-failure average mileage (MKBF), 1,000,000 per km service failure number of items and availability and per km evaluated a maintenance expense. The reliability evaluation results and 2007 year reliability management indexes compared in 2006 years and they improved, per km the maintenance expense compared at 2006 and 36.6% was decreased. Reliability management activity leads and availability of the high-speed vehicle, safety improves and with the fact that will be able to decrease the maintenance expense which is an economic scale of railroad service is expected.

• Journal of Korean Society for Quality Management
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• v.24 no.1
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• pp.10-19
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• 1996

In order to build a model to predict accidents in a complicated man-machine sytem, human errors and mechanical reliability can be viewed as the most important factors. Such factors are explicitly included in a generic model. Another point to keep in mind is that the model should be constructed so that the data in a type of accident can be utilized to predict other types of accidents. Based on such a generic prediction model, we analyze the effects of system reliability. When we improve the system reliability, in other words, when there are changes in model parameters, the predicted time to next accidents should be modified influencing the effects of system reliability improvements. We apply Bayesian approach and finds the formula to explain how a change on the machine reliability or human error probability influences the time to next accident.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.1083-1088
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• 2008

The first task for the development of a train system is to define the system and to determine its requirements. Reliability target is one of the requirements defined in the system requirements. In railway applications it is advised to follow the procedures given in IEC 62278 to fulfill reliability requirements. The reliability requirements are derived from the customer's needs. The way in which the system requirements reflect the customer's needs is strongly dependent on the characteristics of the product. In general the customer of commercial trains presents the system requirements from their needs. However, the relation between the customer and supplier is equivocal for a project to development a prototype train, and the reliability program should be different from that of an usual commercial project. This paper deals with the reliability management and assessment plan carried out for the on-going "Next generation high-speed train development project".

• Wind and Structures
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• v.22 no.5
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• pp.543-553
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• 2016

The growing complexity of modern technological systems requires more flexible and powerful reliability analysis tools. Existing tools encounter a number of limitations including lack of modeling power to address components interactions for complex systems and lack of flexibility in handling component failure distribution. We propose a reliability modeling framework based on the Bayesian network (BN). It can combine historical data with expert judgment to treat data scarcity. The proposed methodology is applied to wind turbines reliability analysis. The observed result shows that a BN based reliability modeling is a powerful potential solution to modeling and analyzing various kinds of system components behaviors and interactions. Moreover, BN provides performing several inference approaches such as smoothing, filtering, what-if analysis, and sensitivity analysis for considering system.

• Journal of Korean Society for Quality Management
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• v.39 no.1
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• pp.71-77
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• 2011

In the fields of reliability application, the most commonly used test methods for reliability qualification are zero failure tests since they require fewer test samples and less test time compared to other test methods that guarantee the same reliability with a given confidence level. An economic zero failure test plan is developed that minimizes the total cost related to perform a life test to guarantee a specified reliability of a product with a given confidence level and a numerical example is provided to illustrate the use of the proposed test method.

• Journal of Korean Society for Quality Management
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• v.32 no.4
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• pp.125-139
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• 2004

Generally, parallel redundancy is used to improve reliability in many systems. However, redundancy increases system cost, weight, volume, power, etc. Due to limited availability of these resources, the system designer has to maximize reliability subject to various constraints or minimize resources while satisfying the minimum requirement of system reliability. This paper presents GAs (Genetic Algorithms) to solve redundancy allocation in series-parallel systems. To apply the GAs to this problem, we propose a genetic representation, the method for initial population construction, evaluation and genetic operators. Especially, to improve the performance of GAs, we develop heuristic operators (heuristic crossover, heuristic mutation) using the reliability-resource information of the chromosome. Experiments are carried out to evaluate the performance of the proposed algorithm. The performance comparison between the proposed algorithm and a pervious method shows that our approach is more efficient.