Abstract
The reliable operation of the digital I&C system of nuclear power plants is of great significance to nuclear safety, but there is no industry-recognized method for evaluating and improving software reliability. This paper proposes a method which is depend on software reliability growth model, to calculate software reliability. At first this paper analyzes the cause and mechanism of software failure,then demonstrates how to descript software reliability mathematically. The second part of this paper explains two way to reduce software failures: fault-tolerant design and error-avoidance design. Furthermore, the third part proposes a software reliability assessment and improvement method based on the reliability growth model, which is used for the digital I&C system of nuclear power plants.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Li, S., Dohi, T., Hiroyuki, O.: Burr-type NHPP-based software reliability models and their applications with two type of fault count data. J. Syst. Softw. 191, 111367 (2012). ISSN:0164-1212
Zhang, C.E., et al.: Review of research on software reliability growth model. J. Softw. 28(09), 2402–2430 (2017). https://doi.org/10.13328/j.cnki.jos.005306
GJB/Z161-2012 military software reliability evaluation guide. National Military Standard, China (2012)
IEEEStd1633-2008 IEEE Recommended Practice on Software Reliability[S] .U.S.:Standards Committee of the IEEE Reliablility Society (2008)
IEEE Std 982.1-2005 IEEE Standard Dictionary of Measures of the Software Aspects of Dependability U.S.:Software Engineering Standards Committee (2005)
NUREG/CR-6901-2006 Current State of Reliability Modeling Methodologies for Digital Systems and Their Acceptance Criteria for Nuclear Power Plant Assessments. U.S.: Nuclear Regulatory Commission (2006)
Xian, Z., Hanyu, L.: Summary of research on quantitative reliability evaluation method of safety level DCS software. Nucl. Stand. Measure Qual. (03), 64–71 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Qiao, N., Liu, Jb. (2023). Research on Software Reliability of Nuclear Power Plant Instrument Control System. In: Gu, P., Xu, Y., Chen, W., Chen, R., Sun, Y., Liu, Z. (eds) New Energy Power Generation Automation and Intelligent Technology. SICPNPP 2023. Lecture Notes in Electrical Engineering, vol 1055. Springer, Singapore. https://doi.org/10.1007/978-981-99-3455-3_33
Download citation
DOI: https://doi.org/10.1007/978-981-99-3455-3_33
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-3454-6
Online ISBN: 978-981-99-3455-3
eBook Packages: EnergyEnergy (R0)