An ontology-based fault generation and fault propagation analysis approach for safety-critical computer systems at the design stage. (3rd February 2022)

• Record Type: Journal Article
• Authors: Diao, Xiaoxu; Pietrykowski, Mike; Huang, Fuqun; Mutha, Chetan; Smidts, Carol
• Is Part Of: AI EDAM. Volume 36(2022)
• Publication Date: 2022-02-03
• Subjects: computer systems -- fault ontology -- fault propagation analysis -- functional failure analysis; Engineering design -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; 620.00420285
• DOI: 10.1017/S0890060421000342
• Languages: English
• ISSNs: 0890-0604

Abstract

Abstract: Fault propagation analysis is a process used to determine the consequences of faults residing in a computer system. A typical computer system consists of diverse components (e.g., electronic and software components), thus, the faults contained in these components tend to possess diverse characteristics. How to describe and model such diverse faults, and further determine fault propagation through different components are challenging problems to be addressed in the fault propagation analysis. This paper proposes an ontology-based approach, which is an integrated method allowing for the generation, injection, and propagation through inference of diverse faults at an early stage of the design of a computer system. The results generated by the proposed framework can verify system robustness and identify safety and reliability risks with limited design level information. In this paper, we propose an ontological framework and its application to analyze an example safety-critical computer system. The analysis result shows that the proposed framework is capable of inferring fault propagation paths through software and hardware components and is effective in predicting the impact of faults.