Skip to main content

Research Repository

Advanced Search

Engineering Simulations as Scientific Instruments: A Pattern Language

Stepney, Susan; Polack, Fiona A.C.; Alden, K; Andrews, P.S.; Bown, J.L.; Droop, A; Greaves, R.B.; Read, M; Sampson, A.T.; Timmis, J; Winfield, Alan F.

Authors

Susan Stepney

Fiona A.C. Polack

K Alden

P.S. Andrews

J.L. Bown

A Droop

R.B. Greaves

M Read

A.T. Sampson

J Timmis



Abstract

This book describes CoSMoS (Complex Systems Modelling and Simulation), a pattern-based approach to engineering trustworthy simulations that are both scientifically useful to the researcher and scientifically credible to third parties. This approach emphasises three key aspects to this development of a simulation as a scientific instrument: the use of explicit models to capture the scientific domain, the engineered simulation platform, and the experimental results of running simulations; the use of arguments to provide evidence that the scientific instrument is fit for purpose; and the close co-working of domain scientists and simulation software engineers.

In Part I the authors provide a managerial overview: the rationale for and benefits of using the CoSMoS approach, and a small worked example to demonstrate it in action. Part II is a catalogue of the core patterns. Part III lists more specific “helper” patterns, showing possible routes to a simulation. Finally Part IV documents CellBranch, a substantial case study developed using the CoSMoS approach.

Citation

Stepney, S., Polack, F. A., Alden, K., Andrews, P., Bown, J., Droop, A., …Winfield, A. F. (2018). Engineering Simulations as Scientific Instruments: A Pattern Language. Springer International Publishing. https://doi.org/10.1007/978-3-030-01938-9

Book Type Authored Book
Publication Date Nov 1, 2018
Peer Reviewed Not Peer Reviewed
Book Title Engineering Simulations as Scientific Instruments: A Pattern Language
ISBN 9783030019372
DOI https://doi.org/10.1007/978-3-030-01938-9
Keywords simulation, complex systems modelling
Public URL https://uwe-repository.worktribe.com/output/857646
Publisher URL http://dx.doi.org/10.1007/978-3-030-01938-9