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

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

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 proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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.
Subtitle of host publication	Development, Operation and Management - 17th Monterey Workshop 2012, Revised Selected Papers
Editors	Radu Calinescu, David Garlan
Publisher	Springer
Pages	251-265
Number of pages	15
Volume	7539
Edition	1
ISBN (Electronic)	9783642340598
ISBN (Print)	9783642340581
DOIs	https://doi.org/10.1007/978-3-642-34059-8_13
Publication status	Published - 2012
Externally published	Yes
Event	17th Monterey Workshop on Large-Scale Complex IT Systems - Oxford, United Kingdom Duration: 19 Mar 2012 → 21 Mar 2012 Conference number: 17

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7539 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th Monterey Workshop on Large-Scale Complex IT Systems
Abbreviated title	LSCITS 2012
Country/Territory	United Kingdom
City	Oxford
Period	19/03/12 → 21/03/12

Access to Document

10.1007/978-3-642-34059-8_13Licence: Unspecified

Cite this

Paige, R. F., Brooke, P. J., Ge, X., Power, C. D. S., Burton, F. R., & Poulding, S. (2012). Revealing Complexity through Domain-Specific Modelling and Analysis. In R. Calinescu, & D. Garlan (Eds.), Large-Scale Complex IT Systems. : Development, Operation and Management - 17th Monterey Workshop 2012, Revised Selected Papers (1 ed., Vol. 7539, pp. 251-265). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7539 LNCS). Springer. https://doi.org/10.1007/978-3-642-34059-8_13

Paige, Richard F. ; Brooke, Phillip J. ; Ge, Xiaocheng et al. / Revealing Complexity through Domain-Specific Modelling and Analysis. Large-Scale Complex IT Systems. : Development, Operation and Management - 17th Monterey Workshop 2012, Revised Selected Papers. editor / Radu Calinescu ; David Garlan. Vol. 7539 1. ed. Springer, 2012. pp. 251-265 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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Paige, RF, Brooke, PJ, Ge, X, Power, CDS, Burton, FR & Poulding, S 2012, Revealing Complexity through Domain-Specific Modelling and Analysis. in R Calinescu & D Garlan (eds), Large-Scale Complex IT Systems. : Development, Operation and Management - 17th Monterey Workshop 2012, Revised Selected Papers. 1 edn, vol. 7539, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7539 LNCS, Springer, pp. 251-265, 17th Monterey Workshop on Large-Scale Complex IT Systems, 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 F.; Brooke, Phillip J.; Ge, Xiaocheng et al.

Large-Scale Complex IT Systems. : Development, Operation and Management - 17th Monterey Workshop 2012, Revised Selected Papers. ed. / Radu Calinescu; David Garlan. Vol. 7539 1. ed. Springer, 2012. p. 251-265 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7539 LNCS).

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

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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.

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Paige RF, Brooke PJ, Ge X, Power CDS, Burton FR, Poulding S. Revealing Complexity through Domain-Specific Modelling and Analysis. In Calinescu R, Garlan D, editors, Large-Scale Complex IT Systems. : Development, Operation and Management - 17th Monterey Workshop 2012, Revised Selected Papers. 1 ed. Vol. 7539. Springer. 2012. p. 251-265. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-34059-8_13

Revealing Complexity through Domain-Specific Modelling and Analysis

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