Ioannis Sorokos
Generation of model-based safety arguments from automatically allocated safety integrity levels
Sorokos, Ioannis
Authors
Abstract
To certify safety-critical systems, assurance arguments linking evidence of safety to appropriate requirements must be constructed. However, modern safety-critical systems feature increasing complexity and integration, which render manual approaches impractical to apply. This thesis addresses this problem by introducing a model-based method, with an exemplary application based on the aerospace domain.
Previous work has partially addressed this problem for slightly different applications, including verification-based, COTS, product-line and process-based assurance. Each of the approaches is applicable to a specialised case and does not deliver a solution applicable to a generic system in a top-down process. This thesis argues that such a solution is feasible and can be achieved based on the automatic allocation of safety requirements onto a system’s architecture. This automatic allocation is a recent development which combines model-based safety analysis and optimisation techniques. The proposed approach emphasises the use of model-based safety analysis, such as HiP-HOPS, to maximise the benefits towards the system development lifecycle.
The thesis investigates the background and earlier work regarding construction of safety arguments, safety requirements allocation and optimisation. A method for addressing the problem of optimal safety requirements allocation is first introduced, using the Tabu Search optimisation metaheuristic. The method delivers satisfactory results that are further exploited for construction of safety arguments. Using the produced requirements allocation, an instantiation algorithm is applied onto a generic safety argument pattern, which is compliant with standards, to automatically construct an argument establishing a claim that a system’s safety requirements have been met. This argument is hierarchically decomposed and shows how system and subsystem safety requirements are satisfied by architectures and analyses at low levels of decomposition. Evaluation on two abstract case studies demonstrates the feasibility and scalability of the method and indicates good performance of the algorithms proposed. Limitations and potential areas of further investigation are identified.
Citation
Sorokos, I. Generation of model-based safety arguments from automatically allocated safety integrity levels. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4222118
Thesis Type | Thesis |
---|---|
Deposit Date | Feb 14, 2020 |
Publicly Available Date | Feb 23, 2023 |
Keywords | Computer science |
Public URL | https://hull-repository.worktribe.com/output/4222118 |
Additional Information | Department of Computer Science, The University of Hull |
Award Date | Jun 1, 2017 |
Files
Thesis
(3.8 Mb)
PDF
Copyright Statement
© 2017 Sorokos, Ioannis. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder.
You might also like
Automating allocation of development assurance levels: An extension to HiP-HOPS
(2015)
Journal Article
A synthesis of logic and bio-inspired techniques in the design of dependable systems
(2016)
Journal Article
Safety + AI: A novel approach to update safety models using artificial intelligence
(2019)
Journal Article
A conceptual framework to incorporate complex basic events in HiP-HOPS
(2019)
Book Chapter
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search