Research on software reliability growth model of reactor protection system for HTR-PM

被引:0
|
作者
Liu, Yu [1 ]
Li, Duo [1 ]
Guo, Chao [1 ]
机构
[1] Collaborative Innovation Center of Advanced Nuclear Energy Technology, Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing
来源
Yuanzineng Kexue Jishu/Atomic Energy Science and Technology | 2015年 / 49卷 / 10期
关键词
Fault severity; Reactor protection system; Software reliability; Software reliability growth model;
D O I
10.7538/yzk.2015.49.10.1870
中图分类号
学科分类号
摘要
The research on software reliability of digital reactor protection system (RPS) plays an important role to improve the reliability of RPS. Based on analyzing the fault data set collected during the software development of HTR-PM RPS, a new software reliability model involving the fault severity was studied and established. In the practice detecting faults with different severities usually have different levels of difficulty, and the trend of detecting rate with different severities varies with time. In this paper the severity ratio function (SRF) was proposed, and separate models were developed to deal with faults with different severities. This can achieve better prediction and reflect the software reliability in more aspects for engineering application. ©, 2015, Atomic Energy Press. All right reserved.
引用
收藏
页码:1870 / 1875
页数:5
相关论文
共 50 条
  • [31] Software Reliability Growth Model for N-Version Fault Tolerant Software with Common and Independent Faults
    Kumar, Sudeep
    Aggarwal, Anu G.
    Gupta, Ritu
    Kapur, P. K.
    INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING, 2023, 30 (06)
  • [32] A software-reliability growth model for N-version programming systems
    Teng, XL
    Pham, H
    IEEE TRANSACTIONS ON RELIABILITY, 2002, 51 (03) : 311 - 321
  • [33] Multi Up-gradation Software Reliability Growth Model with Faults of Different Severity
    Garmabaki, Amir. H. S.
    Aggarwal, Anu. G.
    Kapur, P. K.
    2011 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2011, : 1539 - 1543
  • [34] An integrated growth model of software reliability based on the non-homogeneous Poisson process
    Park, Sei Kwon
    Park, Sang Wook
    PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES, 2007, 6 : 735 - 743
  • [35] Parametric Software Reliability Growth Model with Testing Effort : A Review
    Ahmad, Md Zubair
    Ahmad, N.
    2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION (COMPE-2021), 2021, : 899 - 904
  • [36] A new boosting-based software reliability growth model
    Utkin, Lev V.
    Coolen, Frank P. A.
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2021, 50 (24) : 6167 - 6194
  • [37] An Improved J-M Software Reliability Growth Model
    Zhao, Liu Yan
    Xun, Luo
    Xun, Ao Jian
    Kai, Xue
    Ping, Luo
    INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS, PTS 1-4, 2013, 241-244 : 2741 - 2750
  • [38] A Parametric Empirical Bayes Model to predict Software Reliability Growth
    Barraza, Nestor R.
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND SOFTWARE ENGINEERING (SCSE'15), 2015, 62 : 360 - 369
  • [39] Software requirement analysis for digital based reactor protection system of RDE design
    Santoso, S.
    Sudarno
    Maerani, R.
    Situmorang, J.
    Cahyono, A.
    SYMPOSIUM OF EMERGING NUCLEAR TECHNOLOGY AND ENGINEERING NOVELTY (SENTEN 2018), 2019, 1198
  • [40] Statistical properties of a system reliability estimator using the littlewood software reliability model
    Agustin, MA
    JOURNAL OF APPLIED PROBABILITY, 2003, 40 (03) : 766 - 778