Stochastic modeling, analysis and verification of mission-critical systems and processes

Simos Gerasimou, George Rupert Mason, Colin Alexander Paterson, Alec Banks, Radu Constantin Calinescu, Daniel Kudenko, Stephen Rowe

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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.
Original languageEnglish
Title of host publication4th IMA Conference on Mathematics in Defence
Number of pages9
Publication statusPublished - 2015

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