Gerasimou, Simos, 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 |
---|---|
Authors/Creators: |
|
Dates: |
|
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: | 23 Jan 2025 00:38 |
Status: | Published |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:113459 |