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    복합적 가정을 활용한 새로운 NHPP 소프트웨어 신뢰성 모형의 접근 = New NHPP Software Reliability Model that Considers Composite Assumptions

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    https://www.riss.kr/link?id=A109444620

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Purpose: This study proposes a new type of NHPP software reliability model that considers both software dependent assumptions and operating environment uncertainty.
    Methods: We derive the proposed NHPP software reliability model through differential equations and estimate its parameters by the LSE method by using real data.
    Results: We demonstrate the superiority of the proposed model by comparing its fit with those of eight existing NHPP software reliability models on two datasets.
    Conclusion: We have proposed a new type of NHPP software reliability model that performs multiple functions and assumes dependent failure assumptions and operating environment uncertainties to suit the complexity of existing software. It is expected to perform software failure prediction in various environments in the future software market.
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    Purpose: This study proposes a new type of NHPP software reliability model that considers both software dependent assumptions and operating environment uncertainty. Methods: We derive the proposed NHPP software reliability model through differential e...

    Purpose: This study proposes a new type of NHPP software reliability model that considers both software dependent assumptions and operating environment uncertainty.
    Methods: We derive the proposed NHPP software reliability model through differential equations and estimate its parameters by the LSE method by using real data.
    Results: We demonstrate the superiority of the proposed model by comparing its fit with those of eight existing NHPP software reliability models on two datasets.
    Conclusion: We have proposed a new type of NHPP software reliability model that performs multiple functions and assumes dependent failure assumptions and operating environment uncertainties to suit the complexity of existing software. It is expected to perform software failure prediction in various environments in the future software market.

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    참고문헌 (Reference)

    1 A. L. Goel, "Time-Dependent error-detection rate model for software reliability and other performance measures" 28 (28): 206-211, 1979

    2 H. Pham, "System software reliability" Springer 2006

    3 S. Osaki, "Stochastic Models in Reliability Theory" Springer 144-162, 1984

    4 Z. Jelinski, "Statistical Computer Performance Evaluation" Academic Press 465-484, 1972

    5 L. Pham, "Software reliability models with time dependent hazard rate based on bayesian approach" 30 (30): 25-35, 2000

    6 M. A. Haque, "Software reliability modeling under an uncertain testing environment" 1-7, 2023

    7 D. H. Lee, "Software reliability model with dependent failures and SPRT" 8 (8): 1366-, 2020

    8 S. Yamada, "S-Shaped reliability growth modeling for software error detection" 32 (32): 475-484, 1983

    9 K. Y. Cai, "On estimating the number of defects remaining in software" 40 (40): 93-114, 1998

    10 H. Pham, "On estimating the number of deaths related to COVID-19" 8 (8): 655-, 2020

    1 A. L. Goel, "Time-Dependent error-detection rate model for software reliability and other performance measures" 28 (28): 206-211, 1979

    2 H. Pham, "System software reliability" Springer 2006

    3 S. Osaki, "Stochastic Models in Reliability Theory" Springer 144-162, 1984

    4 Z. Jelinski, "Statistical Computer Performance Evaluation" Academic Press 465-484, 1972

    5 L. Pham, "Software reliability models with time dependent hazard rate based on bayesian approach" 30 (30): 25-35, 2000

    6 M. A. Haque, "Software reliability modeling under an uncertain testing environment" 1-7, 2023

    7 D. H. Lee, "Software reliability model with dependent failures and SPRT" 8 (8): 1366-, 2020

    8 S. Yamada, "S-Shaped reliability growth modeling for software error detection" 32 (32): 475-484, 1983

    9 K. Y. Cai, "On estimating the number of defects remaining in software" 40 (40): 93-114, 1998

    10 H. Pham, "On estimating the number of deaths related to COVID-19" 8 (8): 655-, 2020

    11 V. Pradhan, "Kumar, A. Testing coverage-based software reliability growth model considering uncertainty of operating environment" 26 (26): 449-462, 2023

    12 S. Yamada, "Imperfect debugging models with fault introduction rate for software reliability assessment" 23 (23): 2241-2252, 1992

    13 W. Ehrlich, "Determining the cost of a stop-test decision(software reliability)" 10 (10): 33-42, 1993

    14 A. Amin, "An approach to software reliability prediction based on time series modeling" 86 (86): 1923-1932, 2013

    15 H. Pham, "An NHPP software reliability model and its comparison" 4 (4): 269-282, 1997

    16 P. Roy, "An NHPP software reliability growth model with imperfect debugging and error generation" 21 (21): 1450008-, 2014

    17 K. Y. Song, "A three-parameter fault-detection software reliability model with the uncertainty of operating environments" 26 : 121-132, 2017

    18 Y. S. Kim, "A software reliability model with dependent failure and optimal release time" 14 (14): 343-, 2022

    19 X. Teng, "A new methodology for predicting software reliability in the random field environments" 55 (55): 458-468, 2006

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