• 정보처리학회논문지D
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• 제9D권4호
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• pp.603-612
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• 2002

소프트웨어공학에서 소프트웨어 측정분야는 30년 이상 수많은 연구가 있어 왔으나 아직까지 구체적인 소프트웨어 개발노력과 비용 추정 모델이 거의 없는 실정이다. 만약 소프트웨어 개발노력과 비용을 측정하려면 소프트웨어 규모를 추정해야 한다. 소프트웨어의 규모를 측정하기 위한 많은 소프트웨어 척도가 개발되었지만 가장 일반적인 척도가 LOC(line of code)와 FPA(Function Point Analysis)이다. FPA는 소프트웨어 규모를 측정하는데 LOC를 사용할 때의 단점을 극복할 수 있는 기법이다. 본 논문은 FP(Function Point)로 측정된 소프트웨어 규모로 소프트웨어 개발노력을 추정하는 단순회귀모델을 제안한다. 실험에 사용된 데이터들은 다양한 개발환경과 개발방법을 적용한 최근의 789개 소프트웨어 개발 프로젝트들이다. 실험 데이타들에 대한 산점도를 그려 개발노력과 FP의 적합한 관계로부터 단순회귀분석 모델을 유도하였다. 또한, 다양한 소프트웨어 개발환경과 개발방법 등을 고려해 개발된 최근의 대용량 프로젝트에 대해 제안된 단순회귀분석 모델이 기존의 회귀분석 모델들보다 개발노력 추정 정확성이 월등히 좋음을 보였다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2004년도 가을 학술발표회 논문집
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• pp.437-444
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• 2004

In this study, an optimum support design problem is considered to minimize displacement of stacked plates under self weight condition. During the displacement analysis, several kinds of contact arise between the plates themselves and support bar. These can be easily considered if commercial analysis software, which provides capability to solve the contact problem, is used. It is found, however, that the computing time is extraordinarily long due possibly to the generality of the software and also to the ignorance of the control parameters used in the software. In this paper, the contact condition is imposed directly by the authors, while the software is used only to solve the ordinary displacement analysis problem. In this way, the computing time is decreased remarkably by more than 30 times, while yielding the same accurate results. Optimization is conducted based on this efficient analysis method to find minimum number of supporting bars using the response surface algorithm.

• Nuclear Engineering and Technology
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• 제47권2호
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• pp.212-218
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• 2015

We describe a comparative analysis of different tools used to assess safety-critical software used in nuclear power plants. To enhance the credibility of safety assessments and to optimize safety justification costs, $Electricit{\acute{e}}$ de France (EDF) investigates the use of methods and tools for source code semantic analysis, to obtain indisputable evidence and help assessors focus on the most critical issues. EDF has been using the PolySpace tool for more than 10 years. Currently, new industrial tools based on the same formal approach, Abstract Interpretation, are available. Practical experimentation with these new tools shows that the precision obtained on one of our shutdown systems software packages is substantially improved. In the first part of this article, we present the analysis principles of the tools used in our experimentation. In the second part, we present the main characteristics of protection-system software, and why these characteristics are well adapted for the new analysis tools. In the last part, we present an overview of the results and the limitations of the tools.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2002년도 춘계학술대회논문집
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• pp.700-704
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• 2002

To design engine mount system efficiently, lots of analysis works are conducted for the prediction of the dynamic behavior of a vehicle as varying design parameters of the engine mount system. Thus it is very important to choose an appropriate analysis software. Because one usually carries out different types of analysis based on relatively simple models, so using a specialized in-house software is more effective than using several commercial softwares. In this paper a case study is introduced to develop an analysis software to design engine mount system.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 추계학술대회 논문집
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• pp.1257-1263
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• 2008

Recent advances in embedded system technology have brought more dependence on automating train control. While much efforts have been reported to improve electronic hardware's safety, not so much systematic approaches to evaluate software's safety, especially for the vital software running on board train controllers. In this paper, we have developed a software testing tool to evaluate train control system software safety, expecially "Metric Analysis" module. We have reviewed requirements in the international standards and surveyed available tools in the market. From this, we identified the S/W metric analysis module is required for software evaluation. So we have developed S/W metric analysis module for railway signaling systems.

• 인터넷정보학회논문지
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• 제20권3호
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• pp.93-100
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• 2019

The interest in the Fourth Industrial Revolution along with the development of ICT makes the software get the attention of the world. This phenomenon naturally leads to the concern for software education. Learning software coding is not easy for students whose major is in humanities or social sciences. This paper is a study of how cognition on software education affects to education of computational thinking. For research method, moderator variables were adopted on the proposed research model to prove that positive cognition can derive good influence on improvement of computational thinking. To find out moderator variables of the research model, we have conducted the questionnaire over three years for total of 928 students who took the software coding courses. As the result of the study, we proved that the positive cognition on software education can make the better improvement of computational thinking within proper moderator variables.

• Nuclear Engineering and Technology
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• 제36권4호
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• pp.295-303
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• 2004

Software inspection is widely believed to be an effective method for software verification and validation (V&V). However, software inspection is labor-intensive and, since it uses little technology, software inspection is viewed upon as unsuitable for a more technology-oriented development environment. Nevertheless, software inspection is gaining in popularity. KAIST Nuclear I&C and Information Engineering Laboratory (NICIEL) has developed software management and inspection support tools, collectively named "SIS-RT. "SIS-RT is designed to partially automate the software inspection processes. SIS-RT supports the analyses of traceability between a given set of specification documents. To make SIS-RT compatible for documents written in Korean, certain techniques in natural language processing have been studied [9]. Among the techniques considered, case grammar is most suitable for analyses of the Korean language [3]. In this paper, we propose a methodology that uses a case grammar approach to analyze the traceability between documents written in Korean. A discussion regarding some examples of such an analysis will follow.

• 융합보안논문지
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• 제8권4호
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• pp.121-126
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• 2008

소프트웨어 제품을 개발하여 테스팅을 거친 후 사용자에게 인도하는 시기를 결정하는 일은 아주 실제적이고 흥미 있는 일이 된다. 이러한 문제를 소프트웨어 최적 방출시기라고 한다. 본 연구에서는 이러한 방출문제에 대하여 연구되었다. 수명분포는 감마족 분포에서 대표적인 어랑 문포 모형을 이용한 최적 방출시기에 관한 문제를 다루었다. 소프트웨어 요구 신뢰도를 만족시키고 소프트웨어 개발 및 유지 총비용을 최소화 시키는 최적 소프트웨어 방출 정책에 대하여 논의 되었고 민감도 분석을 이용하여 효율적 최적 방출시기가 논의되었다.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.232-240
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• 2022

To fulfill user expectations, the rapid evolution of software techniques and approaches has necessitated reliable and flawless software operations. Aging prediction in the software under operation is becoming a basic and unavoidable requirement for ensuring the systems' availability, reliability, and operations. In this paper, an improved evolutionary computing-driven extreme learning scheme (ECD-ELM) has been suggested for object-oriented software aging prediction. To perform aging prediction, we employed a variety of metrics, including program size, McCube complexity metrics, Halstead metrics, runtime failure event metrics, and some unique aging-related metrics (ARM). In our suggested paradigm, extracting OOP software metrics is done after pre-processing, which includes outlier detection and normalization. This technique improved our proposed system's ability to deal with instances with unbalanced biases and metrics. Further, different dimensional reduction and feature selection algorithms such as principal component analysis (PCA), linear discriminant analysis (LDA), and T-Test analysis have been applied. We have suggested a single hidden layer multi-feed forward neural network (SL-MFNN) based ELM, where an adaptive genetic algorithm (AGA) has been applied to estimate the weight and bias parameters for ELM learning. Unlike the traditional neural networks model, the implementation of GA-based ELM with LDA feature selection has outperformed other aging prediction approaches in terms of prediction accuracy, precision, recall, and F-measure. The results affirm that the implementation of outlier detection, normalization of imbalanced metrics, LDA-based feature selection, and GA-based ELM can be the reliable solution for object-oriented software aging prediction.

• 한국항공우주학회지
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• 제46권2호
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• pp.133-140
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• 2018

본 논문에서는 복합재 적층 구조물의 면내 구조 해석을 위한 자동화 소프트웨어를 개발한다. 개발된 소프트웨어는 다양한 파손 기준을 제공하며 사용자의 편리성을 고려하여 해석 결과를 출력한다. 또한 병렬처리 기법에 기반한 일괄 처리 해석(batch job analysis) 기능을 지원한다. 구현된 소프트웨어의 성능을 검증하기 위하여 소프트웨어에서 계산된 안전 여유와 자체적으로 사용 중인 in-house 방식과 실제 시편 실험에서 얻어진 안전 여유간의 비교를 수행하였다. 비교 결과 in-house 방식과는 0.01 이하의 오차가 있었으며 시편 실험과는 약 ${\pm}10%$ 이내의 오차가 존재함을 확인하였다. 또한 병렬처리 기법을 적용한 일괄 처리 해석 작업의 실행 속도 개선을 확인하였다.