Engineering Simulations as Scientific Instruments: A Pattern Language: With Kieran Alden, Paul s. Andrews, James l. Bown, Alastair Droop, Richard b. T. Sampson, jon Timmis, Alan F. Ti Winfield (in English)
Engineering Simulations as Scientific Instruments: A Pattern Language: With Kieran Alden, Paul s. Andrews, James l. Bown, Alastair Droop, Richard b. T. Sampson, jon Timmis, Alan F. Ti Winfield (in English)
Engineering Simulations as Scientific Instruments: A Pattern Language: With Kieran Alden, Paul s. Andrews, James l. Bown, Alastair Droop, Richard b. T. Sampson, jon Timmis, Alan F. Ti Winfield (in English) - Susan Stepney; Fiona A.C. Polack
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Engineering Simulations as Scientific Instruments: A Pattern Language: With Kieran Alden, Paul s. Andrews, James l. Bown, Alastair Droop, Richard b. T. Sampson, jon Timmis, Alan F. Ti Winfield (in English)
Susan Stepney; Fiona A.C. Polack
Synopsis "Engineering Simulations as Scientific Instruments: A Pattern Language: With Kieran Alden, Paul s. Andrews, James l. Bown, Alastair Droop, Richard b. T. Sampson, jon Timmis, Alan F. Ti Winfield (in English)"
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.