Short works

Books : reviews

Peter H. Welch, Susan Stepney, Fiona Polack, F. R. M. Barnes, Alistair A. McEwan, G. S. Stiles, Jan F. Broenink, Adam T. Sampson.
Communicating Process Architectures 2008: WOTUG-31.
IOS Press. 2008

(read but not reviewed)

Peter H. Welch, Herman W. Roebbers, Jan F. Broenink, F. R. M. Barnes, Carl G. Ritson, Adam T. Sampson, G. S. Stiles, Brian Vinter.
Communicating Process Architectures 2009: WOTUG-32.
IOS Press. 2009

(read but not reviewed)

Susan Stepney, Peter H. Welch, Paul S. Andrews, Adam T. Sampson, eds.
CoSMoS 2010.
Luniver Press. 2010

(read but not reviewed)


Paul Humphreys. Some Relations between Formal Structure and Conceptual Content in Simulations. 2010
Philip Garnett, Susan Stepney, Francesca Day, Ottoline Leyser. Using the CoSMoS Process to Enhance an Executable Model of Auxin Transport Canalisation. 2010
Amineh Ghorbani, Andreas Ligtvoet, Igor Nikolic, Gerard Dijkema. Using Institutional Frameworks to Conceptualize Agent-based Models of Socio-technical Systems. 2010
Fiona Polack. Arguing Validation of Simulations in Science. 2010
William M. Stevens. Adapting Gosper's Hashlife Algorithm for Kinematic Environments. 2010
Paul S. Andrews, Teodor Ghetiu, Tim Hoverd, Jenny Owen, Adam T. Sampson, Douglas N. Warren, Antonio Gomez Zamorano. A Reflection on Complex Systems: Interesting and Challenging. 2010
Arturo Araujo, Peter J. Bentley, Buzz Baum. Modelling the Role of Chromosome Missegregation in Cancer Therapies. 2010
Daniel Jones, Mark d'Inverno, Tim Blackwell. Agent-based Modelling of the Haematopoetic Cellular System. 2010

Susan Stepney, Fiona Polack, Kieran Alden, Paul S. Andrews, James Bown, Alastair Droop, Richard B. Greaves, Mark N. Read, Adam T. Sampson, Jonathan Timmis, Alan F. T. Winfield.
Engineering Simulations as Scientific Instruments: a pattern language.
Springer. 2018

(read but not reviewed)

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.