• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.5
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• pp.469-475
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• 2017

Software reliability is one of the most basic and essential problems in software development. In order to detect the software failure phenomenon, the intensity function, which is the instantaneous failure rate in the non-homogeneous Poisson process, can have the property that it is constant, non-increasing or non-decreasing independently at the failure time. In this study, was compared the reliability performance of the software reliability model using the Landely lifetime distribution with the intensity function decreasing pattern and Erlang lifetime distribution from increasing to decreasing pattern in the software product testing process. In order to identify the software failure phenomenon, the parametric estimation was applied to the maximum likelihood estimation method. Therefore, in this paper, was compared and evaluated software reliability using software failure interval time data. As a result, the reliability of the Landely model is higher than that of the Erlang distribution model. But, in the Erlang distribution model, the higher the shape parameter, the higher the reliability. Through this study, the software design department will be able to help the software design by applying various life distribution and shape parameters, and providing software reliability attributes data and basic knowledge to software reliability model using software failure analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.4
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• pp.758-767
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• 2007

Today, medical devices is making great progress in type of the electronic medical device controlled by embedded software. So, the quality of electronic medical devices is dependant on the quality of embedded medical software. Especially, considering that medical devices closely connected to human life, we think the study about reliability of medical devices will be needed in the quality of programmable electronic medical devices. In this thesis, we constructed the reliability evaluation method based on ISO/IEC 9126 and ISO/IEC 12119, and developed the system that can applicate FMEA method, the one of the reliability evaluation method.

• Transactions of the Korean Society of Automotive Engineers
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• v.19 no.4
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• pp.1-7
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• 2011

Various convenient systems which are telecommunication and navigation system and safety system which include Antilock Braking System, Electronic Stability Control, Adaptive Cruise Control have been developed and applied to meet customer needs and each standards since vehicles are used. The complexity of new electronics become significant reason of breakdown especially embedded software failures. Hardware reliability is almost stabilized with long history but software reliability needs more improvements through reliability researches. This new challenge will improve software reliability to clear its overall failures in vehicles. This paper introduces some software reliability models and evaluates embedded software reliability using failure data which occurred during operating.

• Journal of KIISE:Software and Applications
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• v.27 no.4
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• pp.393-401
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• 2000

This paper explores neuro-fuzzy system in order to improve the software reliability predictability from failure data. We perform numerical simulations for actual 10 failure count and 4 failure time data sets from different software projects with the various number of rules. Comparative results for next-step prediction problem is presented to show the prediction ability of the neuro-fuzzy system. Experimental results show that neuro-fuzzy system is adapt well across different software projects. Also, performance of neuro-fuzzy system is favorably with the other well-known neural networks and statistical SRGMs.

• Digital Contents
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• no.7 s.110
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• pp.102-111
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• 2002

BSA(Business Software Alliance)는 미국의 시장 조사기관인 인터내셔널 플래닝&리서치(IRP)사에 의뢰해 각국의 소프트웨어 판매자료 및 시장정보를 바탕으로 사무용 소프트웨어 불법복제 실태를 조사했다. IPR의 조사방법 등 BSA 서베이의 신뢰성에 대한 의문과 BSA 회원사 10여개 업체들이 제공한 자료의 신뢰성에 대해 의문의 여지는 남아있다. 각 업계마다 자사의 매출 발표시 조금은 부풀려지는 수치들에 대한 정확한 확인, 자사 소프트웨어의 홍보를 위해 불법복제를 방조하는 현상들에 대해 고려된 조사인가 라는 측면에서 볼 때 100% 자유로울 수 없다는 지적들이 나오고 있다. 하지만 각 연도별 우리나라를 비롯한 정부의 활동과 소프트웨어 불법복제 단속과의 상관관계는 IPR의 조사결과에 신뢰성을 더해주고 있다. 이에 세계적으로 소프트웨어 산업의 균형발전을 위해 비영리단체로 설립된 BSA의 조사결과를 게재한다.

• The Transactions of the Korea Information Processing Society
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• v.3 no.2
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• pp.231-241
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• 1996

The reliability in software has expand in quality and quantity, also its importance and role are increased. But, a study of software reliability is lack of development. this paper software reliability growth models(SRGM) described by NonHome-geneous Poisson(NHPP)processes. Using actual software error data observed by software testing the SRGM's are composition of error-class, and error-class by three class. this paper made the reliability-model of software using three error- class. The purpose of this study to increase software productivity and to improve software quality. So to achive these goals we focused a study of software reliability model using the error-class.

• Convergence Security Journal
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• v.12 no.6
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• pp.85-92
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• 2012

There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. It is shown that it is possible to do asymptotic likelihood inference for software reliability models based on infinite failure model and non-homogeneous Poisson Processes (NHPP). For someone making a decision about when to market software, the conditional failure rate is an important variables. The finite failure model are used in a wide variety of practical situations. Their use in characterization problems, detection of outliers, linear estimation, study of system reliability, life-testing, survival analysis, data compression and many other fields can be seen from the many study. Statistical Process Control (SPC) can monitor the forecasting of software failure and there by contribute significantly to the improvement of software reliability. Control charts are widely used for software process control in the software industry. In this paper, we proposed a control mechanism based on NHPP using mean value function of log Poission, log-linear and Parto distribution.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.3
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• pp.1-11
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• 2018

This paper explores the reliability issue especially associated with the time-division synchronous communication when a networking stack is implemented using software timers provided by embedded operating systems. Especially, we explore the reliability of beacon synchronization of IEEE 802.15.4. Our experiments based on its practical implementation clearly show that processing delays or losses of hardware timer interrupts used for software timers lead to occasional failures in beacon synchronization. To avoid such failures, we suggest a reception time compensation scheme that turns on the receiver earlier than expected.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.7B
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• pp.744-750
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• 2009

In this paper, the unified Markov modeling of hardware and software for AVTMR(AlI Voting Triple Modular Redundancy) system is proposed and the dependability is analyzed. In hardware case, a failure rate is fixed to no time varying parameter. But, in software case, failure rate is applied with time varying parameter. Especially, the dependability(Reliability, Availability, Maintainability, Safety) of software is analyzed with G-O/NHPP for Markov modeling. The dependability of single and AVTMR system is analyzed and simulated with a unified Markov modeling method, and the characteristic of each system is compared accroding to failure rate. This kind of fault tolerat system can be applied to an airplane and life critical system to meet the requirement for a specific requirement.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.20-26
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• 2019

In this study, the optimal shape parameter condition is presented after analyzing the attributes of the software reliability model according to the change of the shape parameter of Loma life distribution with infinite fault NHPP. In order to analyze the software failure phenomena, the parametric estimation method was applied to the Maximum Likelihood Estimation method, and the nonlinear equation was applied to the bisection method. As a result, it was found that when the attributes according to the change of the shape parameter are compared, the smaller the shape parameter is, the better the prediction ability of the true value, and reliability attributes are efficient. Through this study, it is expected that software developers can increase reliability by preliminarily grasping the type of software failure based on shape parameter, and can be used as basic information to improve the software reliability attributes.