• Proceedings of the CALSEC Conference
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• 2001.08a
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• pp.659-670
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• 2001

□ EJB 컴포넌트의 품질인 Functionality, Reliability, Performance, Stability를 보증하기 위하여 Rational Quality Architect(RQA)툴을 이용하여 효과적인 컴포넌트 테스팅 방법을 제안 툴을 이용하여 컴포넌트 및 인터페이스를 갖는 가상 컴포넌트을 작성하여 단위 테스팅 방법 테스트케이스 설계 및 테스트 스크립트 작성 방법 테스트데이터의 Regression Test시 재사용 방법 RQA가 제공하는 테스트 스크립트를 특정 EJB서버에 커스터마이징하는 방법(중략)

• The KIPS Transactions:PartD
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• v.11D no.7 s.96
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• pp.1477-1482
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• 2004

Software development process consists of five phases : requirement, analysis, design, implementation and testing. There is almost always a gap between the system design and implementation stages, caused by a combination of the difficulty of programming and frequent changes on the system design. The goal of this paper is to reduce the gap between system design and implementation, and we design a tool producing a application program by recognizing business logic for a more rapid and flexible developing of software. The core idea of Application Program Generator is : firstly, to recognize that business application in the same domain share business logic and presentation logic : secondly, to treat system design as persistent meta-data ; thirdly, to use the persistent meta-data to build or customize applications as required.

• The Journal of the Korea Contents Association
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• v.17 no.10
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• pp.452-462
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• 2017

This study proposes community based web service for contents providers and web designers to provide user-centered approach on Wordpress theme search and customizstion process. The contents and structure of theme information is analyzed and online communities on programming and Wordpress are studied to development of community based, theme contents service scenario. As a result, I launched 'Themettack' web service, I took beta testing with 20 users for 2 weeks, and found that theme template image and ideal theme contest services are the most satisfactory experiences. Various community contents which tested in this study and user participation data provided proper directions of Wordpress theme service as open source platform.

• Journal of the military operations research society of Korea
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• v.33 no.2
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• pp.101-113
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• 2007

The period of military personnel service will be phased down by 2014 according to 'The law of National Defense Reformation' issued by the Ministry of National Defense. For this reason, the ROK army provides discrimination education to 'newly recruited privates' for more effective individual performance in the on-the-job training. For the training to be more effective, it would be essential to predict the degree of achievements by new privates in the training. Thus, we used data mining techniques to develop a classification model which classifies the new privates into one of two achievements groups, so that different skills of education are applied to each group. The target variable for this model is a binary variable, whose value can be either 'a group of general control' or 'a group of special control'. We developed four pure classification models using Neural Network, Decision Tree, Support Vector Machine and Naive Bayesian. We also built four hybrid models, each of which combines k-means clustering algorithm with one of these four mining technique. Experimental results demonstrated that the highest performance model was the hybrid model of k-means and Neural Network. We expect that various military education programs could be supported by these classification models for better educational performance.