KIPS Transactions on Software and Data Engineering (정보처리학회논문지:소프트웨어 및 데이터공학)

Korea Information Processing Society (한국정보처리학회)
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Study for Remove of Uncertainty by Identification of Ambiguity

모호성 식별에 의한 불확실성 제거에 관한 연구

  • 이은서 (안동대학교 컴퓨터공학과)
  • Received : 2014.12.02
  • Accepted : 2015.01.07
  • Published : 2015.01.31
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Abstract

There are many uncertainty items when we're working on a software. Especially, if we don't have experience in similar field, ambiguity items have a strong influence on the system entirely. Management of ambiguity items such like uncertainty things is important the factor for reliability of software. Therefore, this research is processing the evaluation criteria for remove of uncertainty items by identify of ambiguity items. Also, this research provides criteria of uncertainty identify and processing of uncertainty items, quantitative evaluation criteria to the remove of ambiguity on software development.

많은 불확실성 항목들은 소프트웨어 실행 시에 존재한다. 특히, 유사한 분야에서 전반적인 시스템에 많은 영향을 주게 된다. 불확실성 요소와 같은 모호성 요소의 관리는 소프트웨어 신뢰성을 위하여 중요한 요소가 된다. 따라서 모호성을 식별하여 불확실성 요소를 제거하도록 판단기준을 프로세스화 하였다. 또한 본 연구에서는 소프트웨어 개발 시, 모호성을 제거하기 위한 불확실성 식별 기준과 불확실성 처리 프로세스 및 정량적인 평가에 대하여 제시한다.

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