소프트웨어의 신뢰성을 정량적으로 평가하는 데 있어서 대다수의 모델이 발생된 소프트웨어 고장의 발생원인에 대한 완전한 수정을 요구하는 완전 디버깅 환경을 가정하고 있다. 그러나 실제 개발자가 디버깅 작업을 수행할 때 완전한 수정이 불가능하기 때문에. 새로운 결함이 삽입되는 경우가 많다. 즉, 결함 수정은 불완전 환경에 처한다. 본 논문에서는 결함 수정시 신규 결함의 삽입 가능성을 고려하고 불완전 디버깅 환경에 대한 소프트웨어 신뢰도 성장모델을 제안하고 소프트웨어 동작 환경 하에서 발생된 소프트웨어 고장과 시험 전 소프트웨어 내의 고유 결함에 의한 고장과 동작 중에 랜덤하게 삽입된 결함에 의해 발생되는 고장 등 2종류의 결함을 고려하여 비동차포아송과정(NHPP)에 의한 소프트웨어 고장발생 현상을 기술한다. 또 소프트웨어 신뢰성 평가에 유용한 정량적인 척도를 도출하고 실측 데이터를 이용하여 적용한 결과를 제시하고 기존 모델과의 적합성을 비교, 분석한다.
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