|Title: ||Revealing complexity through domain-specific modelling and analysis|
|Book Title: ||Large-scale complex IT systems. development, operation and management|
|Citation: ||Paige, R.F., Brooke, P.J., Ge, X., Power, C., Burton, F.R. and Poulding, S. (2012) 'Revealing complexity through domain-specific modelling and analysis', Large-scale complex IT systems. development, operation and management. Lecture Notes in Computer Science, 7539, pp.251-265.|
|Conference: ||17th Monterey Workshop 2012, Oxford, UK, 19-21 March 2012|
|Issue Date: ||2012 |
|Abstract: ||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.|
|Keywords: ||software engineering|
|Series/Report no.: ||Lecture Notes in Computer Science|
|Rights: ||Author can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 05/11/2012].|
|Citation Count: ||0 [Scopus, 05/11/2012]|
|Appears in Collections: ||Computer Science|
Digital Futures Institute
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