Research on the software reliability quantitative evaluation of nuclear power plant digital control system based on non-homogeneous poisson process model-Reference-Cited by-同舟云学术

Research on the software reliability quantitative evaluation of nuclear power plant digital control system based on non-homogeneous poisson process model

Published:2020-09 Issue: Volume:144 Page:107589
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Zhang Qing^ORCID,Ma Quan,Liu Mingxing,Zhong Ke,Xu Biao,Wu Liyin

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference40 articles.

1. A unified approach of testing coverage-based software reliability growth modelling with fault detection probability, imperfect debugging, and change point;Chatterjee;J. Software Evol. Process,2018

2. Methodology study on safety-critical software reliability evaluation of digital I&C systems at nuclear power plants;Chi;Hedongli Gongcheng/Nuclear Power Engineering,2015

3. Cho, Jaehyun, S.J. Lee, Jung, W. 2014. Review of Software Reliability Assessment Methodologies for Digital I&C Software of Nuclear Power Plants.

4. An efficient parameter estimation of software reliability growth models using gravitational search algorithm;Choudhary;Inter. J. Syst. Assur. Eng. Manage.,2017

5. Development of quantitative software reliability models for digital protection systems of nuclear power plants;Chu,2013

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ECOC-based integrated learning method for fault diagnosis in nuclear power plants;Applied Mathematics and Nonlinear Sciences;2023-09-20

2. A Hybrid Machine Learning Model for Reliability Evaluation of the Reactor Protection System;Alexandria Engineering Journal;2022-09

3. Multicriteria Decision Making to Continuous Software Improvement Based on Quality Management, Assurance, and Metrics;Scientific Programming;2021-04-21

4. The impact of digitalization on international project implementation;Proceedings of the 2nd International Scientific Conference on Innovations in Digital Economy: SPBPU IDE-2020;2020-10-22