Revealing Complexity through Domain-Specific Modelling and Analysis

Richard Freeman Paige; Phillip J. Brooke; Xiaocheng Ge; Christopher Douglas Power; Frank Royston Burton; Simon Marcus Poulding

doi:10.1007/978-3-642-34059-8_13

Revealing Complexity through Domain-Specific Modelling and Analysis

Richard Freeman Paige, Phillip J. Brooke, Xiaocheng Ge, Christopher Douglas Power, Frank Royston Burton, Simon Marcus Poulding

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Large-Scale Complex IT Systems. Development, Operation and Management
Publisher	Springer
Pages	251-265
Number of pages	15
Volume	7539 LNCS
ISBN (Electronic)	978-3-642-34059-8
ISBN (Print)	978-3-642-34058-1
DOIs	https://doi.org/10.1007/978-3-642-34059-8_13
Publication status	Published - 2012
Event	17th Monterey Workshop on the Development, Operation and Management of Large-Scale Complex IT Systems (Monterey 2012) - Oxford, United Kingdom Duration: 19 Mar 2012 → 21 Mar 2012

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	7539
ISSN (Print)	0302-9743

Conference

Conference	17th Monterey Workshop on the Development, Operation and Management of Large-Scale Complex IT Systems (Monterey 2012)
Country/Territory	United Kingdom
City	Oxford
Period	19/03/12 → 21/03/12

Access to Document

10.1007/978-3-642-34059-8_13

http://link.springer.com/chapter/10.1007/978-3-642-34059-8_13

Cite this

@inproceedings{e5e78f3dd29346a2a84a13d8f5089157,

title = "Revealing Complexity through Domain-Specific Modelling and Analysis",

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.",

author = "Paige, {Richard Freeman} and Brooke, {Phillip J.} and Xiaocheng Ge and Power, {Christopher Douglas} and Burton, {Frank Royston} and Poulding, {Simon Marcus}",

year = "2012",

doi = "10.1007/978-3-642-34059-8_13",

language = "English",

isbn = "978-3-642-34058-1",

volume = "7539 LNCS",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "251--265",

booktitle = "Large-Scale Complex IT Systems. Development, Operation and Management",

address = "Germany",

note = "17th Monterey Workshop on the Development, Operation and Management of Large-Scale Complex IT Systems (Monterey 2012) ; Conference date: 19-03-2012 Through 21-03-2012",

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Paige, RF, Brooke, PJ, Ge, X , Power, CD, Burton, FR & Poulding, SM 2012, Revealing Complexity through Domain-Specific Modelling and Analysis. in Large-Scale Complex IT Systems. Development, Operation and Management. vol. 7539 LNCS, Lecture Notes in Computer Science, vol. 7539, Springer, pp. 251-265, 17th Monterey Workshop on the Development, Operation and Management of Large-Scale Complex IT Systems (Monterey 2012), Oxford, United Kingdom, 19/03/12. https://doi.org/10.1007/978-3-642-34059-8_13

Revealing Complexity through Domain-Specific Modelling and Analysis. / Paige, Richard Freeman; Brooke, Phillip J.; Ge, Xiaocheng et al.
Large-Scale Complex IT Systems. Development, Operation and Management. Vol. 7539 LNCS Springer, 2012. p. 251-265 (Lecture Notes in Computer Science; Vol. 7539).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Revealing Complexity through Domain-Specific Modelling and Analysis

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AU - Ge, Xiaocheng

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AU - Burton, Frank Royston

AU - Poulding, Simon Marcus

PY - 2012

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AB - 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.

U2 - 10.1007/978-3-642-34059-8_13

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