• KIPS Transactions on Software and Data Engineering
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• v.4 no.1
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• pp.9-18
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• 2015

Software Reliability Growth Models (SRGMs) are useful for determining the software release date or additional testing efforts by using software failure data. It is not appropriate for a SRGM to apply to all software. And besides a large number of SRGMs have already been proposed to estimate software reliability measures. Therefore selection of an optimal SRGM for use in a particular case has been an important issue. The existing methods for selecting a SRGM use the entire collected failure data. However, initial failure data may not affect the future failure occurrence and, in some cases, it results in the distorted result when evaluating the future failure. In this paper, we suggest a method for selecting a SRGM based on the evaluation goodness-of-fit using partial data. Our approach uses partial data except for inordinately unstable failure data in the entire failure data. We will find a portion of data used to select a SRGM through the comparison between the entire failure data and the partial failure data excluded the initial failure data with respect to the predictive ability of future failures. To justify our approach this paper shows that the predictive ability of future failures using partial data is more accurate than using the entire failure data with the real collected failure data.

• Journal of KIISE
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• v.42 no.12
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• pp.1551-1560
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• 2015

Software Reliability Growth Models (SRGMs) are used to quantitatively evaluate software reliability and to determine the software release date or additional testing efforts using software failure data. Because a single SRGM is not universally applicable to all kinds of software, the selection of an optimal SRGM suitable to a specific case has been an important issue. The existing methods for SRGM selection assess the goodness-of-fit of the SRGM in terms of the collected failure data but do not consider the accuracy of future failure predictions. In this paper, we propose a method for selecting SRGMs using the trend of failure data and failure prediction ability. To justify our approach, we identify problems associated with the existing SRGM selection methods through experiments and show that our method for selecting SRGMs is superior to the existing methods with respect to the accuracy of future failure prediction.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.6A
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• pp.589-599
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• 2004

Most models assume the complete debugging environments by requiring a complete software correction in quantitative evaluation of software reliability. But, in many case, new faults are involved in debugging works, for complete software correction is impossible. In this paper, software growth model is proposed about incomplete debugging environments by considering the possibility of new faults involvements, and software faults occurrence status are also mentioned about NHPP by considering software faults under software operation environments and native faults owing to the randomly involved faults in operation before test. While, effective quantitative measurements are derived in software reliability evaluation, applied results are suggested by using actual data, and fitnesswith existing models are also compared and analyzed.

• Journal of KIISE:Software and Applications
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• v.32 no.12
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• pp.1178-1191
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• 2005

In this paper, we propose a synthesis method of software fault tree from software requirements specification written in NuSCR formal specification language. The software fault tree, proposed in this paper, reflects requirements on both structure and behavior and it is an integrated form. The software fault tree can be used for analyzing safety in the view of structure and behavior. We propose templates for each components in NuSCR specification language and a synthesis method of software fault tree using the templates. The research was applied into the main trip logic of the reactor protection system of ARP1400, the Korean next generation nuclear reactor system, developed by KNICS. And we evaluate feasibility of our approach through this case study.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.3
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• pp.195-202
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• 2015

NHPP software reliability models for failure analysis can have, in the literature, exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, finite failure NHPP models that assuming the expected value of the defect and infinite failures NHPP models that repairing software failure point in time reflects the situation, were presented for comparing property. Commonly used in the field of software reliability based on exponential power distribution software reliability model finite failures and infinite failures were presented for comparison problem. As a result, finite fault model is effectively infinite fault models, respectively. The parameters estimation using maximum likelihood estimation was conducted. In this research, software developers to identify software failure property some extent be able to help is considered.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.6
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• pp.566-572
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• 2016

Software Reliability implemented in software development is one of the most important issues. In finite failure NHPP software reliability models for software failure analysis, the hazard function that means a failure rate may have constant independently for failure time, non-increasing or non-decreasing pattern. In this study, software development cost analysis considering the variable shape parameter of Erlang distribution as the failure life distribution in the software product testing process was studied. The software failure model was applied finite failure Non-Homogeneous Poisson Procedure and the parameters approximation using maximum likelihood estimation was accompanied. Thus, this paper was presented comparative analysis by applying a software failure time data to the software, considering the shape parameter of Erlang distribution for development cost model analysis. When compared to the cost curve in accordance with the shape parameter, the model of smaller shape can be seen that the optimal software release time delay and more cost. Through this study, it is thought that it can serve as a preliminary information which can basically help the software developers to search for development cost according to software shape parameters.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.2071-2074
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• 2002

대부분의 소프트웨어 신뢰도 모델에서 제한사항중에서 계속되는 소프트웨어의 고장중에서 통계적인 독립성의 가정이 가장 엄격할 것으로 연구해왔다. 우리는 이러한 가정이 쉽게 위배될 수 있는 실제적인 상황이 존재하는가, 그리고 소프트웨어 모델링에 관하여 발행된 대부분의 문헌들이 이러한 문제를 심각하게 다루고 있었는가에 관하여 연구하고자 하였다. 그리고, 고전적인 소프트웨어 신뢰도 이론이 고장상관관계의 가능한 시퀀스를 고려하는데까지 확장될 수 있음을 보여주고자 한다.

• Proceedings of the KIEE Conference
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• summer
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• pp.415-417
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• 2004

본 논문은 계통의 고장해석을 위한 소프트웨어의 개발에 대해 다루었다. 일반적으로 고장 계산방식은 lEC 및 IEEE 방식으로 나눌 수 있으며 본 논문에서 활용한 IEC 방식은 각 지로 별 고장전류를 계산하여 이를 합산하여 최종적으로 고장점의 전류를 계산하는 방식이다. 계산된 결과는 최대 비대칭 전류, 대칭 전류, 차단 전류, 직류 전류 및 비대칭 차단전류 등으로 나뉘어 지며 보호기기 설정 시 차단시간 및 용량, 투입 용량 등의 결정에 활용된다. Y-Bus 행렬을 이용하여 IEC 고장계산 알고리즘을 구현하였으며 구성된 알고리즘의 검증을 위해 8모선 및 24모선 계통에 대해 사례연구를 수행하였다 사례연구 결과를 수계산 본 논문의 소프트웨어 및 상용 소프트웨어의 연산 결과와 비교하였다.

• The Journal of the Korea Contents Association
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• v.6 no.10
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• pp.126-133
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• 2006

Application software streaming is a virtualization technology that enables users to use applications without installation on her/his computer. With application streaming service, a client immediately starts and uses the application as if it were installed. The application can be executed while executable codes for the application may still be streamed. Since the software streaming is based on networks, its service is affected by network failures. Network failures may cause the streamed application to stop, and to make it worse, also the system may crash because executable codes for the application can't be streamed from the streaming server. Using the Pareto principle (80 vs. 20 rule), users can be served continuously with the minimum functions that are frequently used, pre-fetched and cached if we provide a more intelligent and fault-tolerant streaming technique. This paper proposes the concept and technique named Evergreen. Using the Evergreen technique, users can continue using the streamed application while a network failure occurs, although user can access only the streamed code. We also discuss the implementation of Evergreen technique in details.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.192-196
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• 2007

그동안 소프트웨어의 신뢰도가 테스트중은 물론 운영중에도 고장을 검출 및 수벙함으로써 성장될 수 있다는 가정 하에 SRGM이 연구되어왔다. 한편, 어떤 논문에서는 운영중에 소프트웨어를 수정한다는 것이 특히 범용 소프트웨어인 경우 불가능에 가깝기 때문에 테스트노력이 일정한 것으로 가정하기도 하였다.. 저자는 소프트웨어의 신뢰도 현상에 접근할 수 있는 단순한 기법을 제안하여 기존신뢰도 모델을 수정하지 않고 고장률을 줄일 수 있도록 하는 방안을 제시한다.