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Software reliability analysis for safety‐critical and control systems
Author(s) -
Kumar Pramod,
Singh Lalit Kumar,
Kumar Chiranjeev
Publication year - 2020
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2577
Subject(s) - reliability engineering , reliability (semiconductor) , software quality , computer science , life critical system , software reliability testing , software , software development , engineering , power (physics) , physics , quantum mechanics , programming language
Abstract The transition from analog to digital safety‐critical instrumentation and control (I&C) systems has introduced new challenges for software experts to deliver increased software reliability. Since the 1970s, researchers are continuing to propose software reliability models for reliability estimation of software. However, these approaches rely on the failure history for the assessment of reliability. Due to insufficient failure data, these models fail to predict the reliability of safety critical systems. This paper utilizes the Bayesian update methodology and proposes a framework for the reliability assessment of the safety‐critical systems (SCSs). The proposed methodology is validated using experiments performed on real data of 12 safety‐critical control systems of nuclear power plants.