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MMINT-A: A framework for model-based safety assurance.

Authors :
Di Sandro, Alessio
Murphy, Logan
Viger, Torin
Chechik, Marsha
Source :
Science of Computer Programming. Jan2024, Vol. 231, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

As the complexity of safety-critical systems increases, it becomes more and more challenging to assure that these systems will operate safely and reliably. This has led to the development of industry-specific safety standards that regulate the development of these systems. These standards involve developing model-based safety artifacts to assure the system is safe, such as safety cases and fault trees. Given the significant safety implications of these models, tool assistance is needed to support their creation and management throughout their lifecycle while maintaining traceability to their associated system models. To address this need, we have developed MMINT-A , a tool-supported framework that facilitates the creation, analysis and evolution of system safety models. In this paper, we report on recent extensions to MMINT-A supporting the development of provably correct assurance arguments. We highlight MMINT-A 's features, demonstrate them over an example of a fleet of systems for a warehouse facility, and discuss MMINT-A 's impact on research in assurance model management. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01676423
Volume :
231
Database :
Academic Search Index
Journal :
Science of Computer Programming
Publication Type :
Academic Journal
Accession number :
172974673
Full Text :
https://doi.org/10.1016/j.scico.2023.103004