The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 관찰된 데이터로부터 총 소프트웨어 결함 수뿐만 아니라 정량적 소프트웨어 신뢰성을 추정하기 위한 DCR(Dynamic Capture-Recapture) 모델을 제안합니다. 과거 문헌의 기존 SCR(정적 캡처-재캡처) 모델 및 일반적인 SRM(소프트웨어 신뢰성 모델)과 비교하여 DCR 모델은 소프트웨어 오류 감지 프로세스의 동적 동작을 처리할 수 있으며 캡처-재캡처 샘플링을 기반으로 정량적 소프트웨어 신뢰성을 평가할 수 있습니다. 소프트웨어 결함 데이터. 이는 베이지안 추정을 통한 SCR과 SRM의 통합 모델링 프레임워크로 간주됩니다. 몇 가지 그럴듯한 테스트 시나리오에 따른 시뮬레이션 실험에서는 추정 정확도 측면에서 우리 모델이 SCR 및 SRM보다 우수하다는 것을 보여줍니다.
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부
Hiroyuki OKAMURA, Tadashi DOHI, "Software Reliability Modeling Based on Capture-Recapture Sampling" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 7, pp. 1615-1622, July 2009, doi: 10.1587/transfun.E92.A.1615.
Abstract: This paper proposes a dynamic capture-recapture (DCR) model to estimate not only the total number of software faults but also quantitative software reliability from observed data. Compared to conventional static capture-recapture (SCR) model and usual software reliability models (SRMs) in the past literature, the DCR model can handle dynamic behavior of software fault-detection processes and can evaluate quantitative software reliability based on capture-recapture sampling of software fault data. This is regarded as a unified modeling framework of SCR and SRM with the Bayesian estimation. Simulation experiments under some plausible testing scenarios show that our models are superior to SCR and SRMs in terms of estimation accuracy.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.1615/_p
부
@ARTICLE{e92-a_7_1615,
author={Hiroyuki OKAMURA, Tadashi DOHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Software Reliability Modeling Based on Capture-Recapture Sampling},
year={2009},
volume={E92-A},
number={7},
pages={1615-1622},
abstract={This paper proposes a dynamic capture-recapture (DCR) model to estimate not only the total number of software faults but also quantitative software reliability from observed data. Compared to conventional static capture-recapture (SCR) model and usual software reliability models (SRMs) in the past literature, the DCR model can handle dynamic behavior of software fault-detection processes and can evaluate quantitative software reliability based on capture-recapture sampling of software fault data. This is regarded as a unified modeling framework of SCR and SRM with the Bayesian estimation. Simulation experiments under some plausible testing scenarios show that our models are superior to SCR and SRMs in terms of estimation accuracy.},
keywords={},
doi={10.1587/transfun.E92.A.1615},
ISSN={1745-1337},
month={July},}
부
TY - JOUR
TI - Software Reliability Modeling Based on Capture-Recapture Sampling
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1615
EP - 1622
AU - Hiroyuki OKAMURA
AU - Tadashi DOHI
PY - 2009
DO - 10.1587/transfun.E92.A.1615
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2009
AB - This paper proposes a dynamic capture-recapture (DCR) model to estimate not only the total number of software faults but also quantitative software reliability from observed data. Compared to conventional static capture-recapture (SCR) model and usual software reliability models (SRMs) in the past literature, the DCR model can handle dynamic behavior of software fault-detection processes and can evaluate quantitative software reliability based on capture-recapture sampling of software fault data. This is regarded as a unified modeling framework of SCR and SRM with the Bayesian estimation. Simulation experiments under some plausible testing scenarios show that our models are superior to SCR and SRMs in terms of estimation accuracy.
ER -