• Proceedings of the KIEE Conference
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• 2000.07b
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• pp.1009-1011
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• 2000

본 사이트에서는 국산 공학 소프트웨어를 주력으로 판매하고 공학에 관련한 일반 상용 소프트웨어를 판매한다. 또한 공학자들의 전문적인 공간으로서 국책/기업 연구소, 정부기관, 대학교 연구기관과 링크를 통해 고객 서로가 자료를 공유할 수 있는 사이트로 활용하는데 목적을 둔다.

• Journal of KIISE:Software and Applications
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• v.29 no.9
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• pp.619-630
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• 2002

The various software engineering techniques have been come out in order to cope with the software crisis since 1980's. The software Engineering has focused on the process of software component development. The process products a development guide for a quality and productive improvement of software. But, most of the methodologies assume that a new system will be constructed and reused in the future. these do not actually support efficiently how we reuse legacy system's resources and construct a new system. In this paper, we present an efficient Reengineering Process for reusing legacy systems, RUP+re, which extends and customizes RUP. Rup+re consists of Reverse Engineering Workflow, Re-Engineering Workflow and forward Engineering Process. We describe RUP+re's workflows with their own detail steps and verify them practically through the case study. So, we provide efficient guidelines to the software Reengineering process construction which reuses the resources of a legacy system.

• Journal of Software Engineering Society
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• v.28 no.1
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• pp.7-12
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• 2019

Recently, as the weight of software in the weapon system increases, the quality of the software becomes a very important factor. In order to improve the quality of the weapon system software, DAPA(Defense Acquisition Program Administration) has institutionalized software reliability in Weapon System Software Development and Management Manual. The manual presents specific methods and procedures to improve the weapon system software quality. In order to meet the required reliability test standards specified in the manual, it is necessary to continuously detect and correct defects throughout the entire development period. However, it is difficult to build proper reliability test environment due to the cost of software reliability tools, setting up secured and separated network environment, and etc. Therefore, in this study, we propose an efficient environment construction method for software reliability test of defense industry field in restricted development environment and limited resources.

• Journal of Software Engineering Society
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• v.25 no.3
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• pp.59-62
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• 2012

We propose a novel metric for quantitatively comparing different clustered results generated from software clustering algorithms. A quantitative evaluation of software clustering helps understanding of architectural changes of software. The concept of split, which has been used for analysis of genetic characters in bio-informatics, is applied in the analysis of software architecture.

• Journal of Software Engineering Society
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• v.26 no.1
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• pp.17-29
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• 2013

Software System Evolution is more planned and systematic maintenance process as well as a type of maintenance. The research of software evolution provides basis of decisions for maintenance value through cost-benefit analysis of legacy system and architecture-based software evolution enables engineers to reduce maintenance cost by automation of repetitive evolution tasks. This paper proposes a framework for software system evolution using architectural transformation pattern.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.853-854
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• 2009

고객가치에 기반을 두지 않은 소프트웨어는 블루오션을 창출할 수 없고, 기존 시장에서 우위를 점유할 수 없으므로 최근에는 고객가치와 품질 향상에 초점을 맞춰 소프트웨어 개발이 이루어지고 있다. 또한 시장에서 우위를 차지하기 위한 중요한 요소 중 하나가 비용인데, COTS 기반의 개발방법은 시장출하 시간의 단축과 비용절감의 효과가 있어 관심이 증가하는 추세이다. 본 논문에서는 고객가치를 창출하고 소프트웨어 품질을 향상시키기 위해 고객가치와 COTS의 품질속성을 고려하여 COTS를 선택하는 요구공학방법론을 제시하였다.

• Journal of Software Engineering Society
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• v.13 no.3
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• pp.9-17
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• 2000

본 논문에서는 시맨틱스를 기반으로한 대표적인 프로그램 분석 틀로써 최근에 활발한 연구가 진행되고 이는 요약 해석의 기본 개념에 대해서 소개하고 명령형 혹은 객체-지향 언어에서 많이 사용되고 있는 동작 시맨틱스를 기초로 하는 요약 해석에 대해서 설명한다. 또한 최근까지 소개된 요약 해석을 이용한 다양한 응용 분야에 대해서 설명한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.490-493
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• 2024

현재 다양한 분야에서 AI 가 사용되고 있다. 최근에는 소프트웨어공학 관점에서 요구 사항 분석에 Chat GPT 와 같은 LLM 모델을 적용하고 있다. 하지만 1) 대부분의 생성형 AI 는 불투명한 공정을 통해 3D 이미지가 생성하고, 3D 이미지를 생성할 때마다 다른 이미지를 생성한다. 이에 따라 동일한 인물이나 사물을 사용하고 싶은 사용자들은 동일한 객체가 들어간 그림을 일관성 있게 생성할 수 없다. 2) 또한 LLM 과 이미지 생성 AI 와의 결합이 시도 되고 있지만 문장 의미 분석 성능이 부족하다. 이를 해결하기 위해, 자연어 요구사항을 언어학적 기법을 통해 분석하고, 분석 결과를 기반으로 UML 시퀀스 다이어그램 및 3D 객체 생성 메커니즘을 제안한다. 즉 언어학적 분석 기법을 통해, 요구사항의 정확한 의미와 속성을 추출한다. 그런 다음 추출된 정보를 시퀀스 다이어그램과 매핑하여 3D 객체 이미지를 생성한다. 제안하는 방법을 통해 3D 객체 생성의 소프트웨어 개발 공정 사용으로 생산성을 높여 시간과 비용을 단축할 수 있을 것으로 기대한다.

• Journal of Software Engineering Society
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• v.26 no.4
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• pp.93-103
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• 2013

Complexity and maintenance cost of software increase as much as software has been evolved, therefore importance of software maintenance recently arise. There are many signs that are difficulties to maintain software, called bad smell, in a large-scale software. The bad smell should be removed to improve maintainability. Recently, many software refactoring methods have researched to terminate the bad smell. In this paper, we propose how to identify long parameter list, which causes bad smell, and how to solve the problem for increasing software maintainability. In our approach, we classify the parameters for creating new objects by measuring semantic similarity among them. This is evaluated by experienced software developers, and the result is statistically verified.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.33-40
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• 2019

As aerospace industry has been activated recently, it is required to commercialize composite analysis software. Until now, commercial software has been mainly used for analyzing composites, but it has been difficult to use due to high price and limited functions. In order to solve this problem, automatic analysis software for both in-plane and corner radius strength, which are all made on-line and generalized, has recently been developed. However, these have the disadvantage that they can not be analyzed simultaneously with multiple failure criteria. In this paper, we propose a method to greatly improve the processing speed while simultaneously handling the analysis of multiple failure criteria using a parallel processing platform that only works with a GPU equipped with a CUDA core. We have obtained satisfactory results when the analysis speed is experimented on the vast structure data.