Revealing Complexity through Domain-Specific Modelling and Analysis

Richard F. Paige, Phillip J. Brooke, Xiaocheng Ge, Christopher D.S. Power, Frank R. Burton, Simon Poulding

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


Complex systems exhibit emergent behaviour. The explanations for this explicit emergent behaviour are often difficult to identify, and usually require understanding of significant parts of system structure and component behaviour to interpret. We present ongoing work on a set of techniques, based on Model-Driven Engineering principles and practices, for helping to reveal explanations for system complexity. We outline the techniques abstractly, and then illustrate parts of them with three examples from the health care, system security and Through-Life Capability Management domains.

Original languageEnglish
Title of host publicationLarge-Scale Complex IT Systems.
Subtitle of host publicationDevelopment, Operation and Management - 17th Monterey Workshop 2012, Revised Selected Papers
EditorsRadu Calinescu, David Garlan
Number of pages15
ISBN (Electronic)9783642340598
ISBN (Print)9783642340581
Publication statusPublished - 2012
Externally publishedYes
Event17th Monterey Workshop on Large-Scale Complex IT Systems - Oxford, United Kingdom
Duration: 19 Mar 201221 Mar 2012
Conference number: 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7539 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th Monterey Workshop on Large-Scale Complex IT Systems
Abbreviated titleLSCITS 2012
Country/TerritoryUnited Kingdom


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