Gerasimou, Simos orcid.org/0000-0002-2706-5272, Mason, George Rupert, Paterson, Colin Alexander orcid.org/0000-0002-6678-3752 et al. (4 more authors) (2015) Stochastic modeling, analysis and verification of mission-critical systems and processes. In: 4th IMA Conference on Mathematics in Defence.
Abstract
Software and business processes used in mission-critical defence applications are often characterised by stochastic behaviour. The causes for this behaviour range from unanticipated environmental changes and built-in random delays to component and communication protocol unreliability. This paper overviews the use of a stochastic modelling and analysis technique called quantitative verication to establish whether mission-critical software and business processes meet their reliability, performance and other quality-of-service requirements.
Metadata
| Item Type: | Book Section |
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| Authors/Creators: |
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| Dates: |
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| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
| Depositing User: | Pure (York) |
| Date Deposited: | 10 Mar 2017 16:40 |
| Last Modified: | 20 Sep 2025 02:36 |
| Status: | Published |
| Refereed: | Yes |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:113459 |

CORE (COnnecting REpositories)
CORE (COnnecting REpositories)