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Authors: Mandeep Gill 1 ; Steve McKeever 2 and David Gavaghan 1

Affiliations: 1 University of Oxford, United Kingdom ; 2 Uppsala University, Sweden

ISBN: 978-989-758-007-9

ISSN: 2184-4348

Keyword(s): Modules, Collaborative Modelling, Biological Mathematical Systems, Heart Models, Generics.

Related Ontology Subjects/Areas/Topics: Applications and Software Development ; Component-Based Software Engineering ; Domain-Specific Modeling and Domain-Specific Languages ; General-Purpose Modeling Languages and Standards ; Languages, Tools and Architectures ; MetaModeling ; Model-Driven Software Development ; Models ; Paradigm Trends ; Software Engineering ; Syntax and Semantics of Modeling Languages

Abstract: Mathematical models are frequently used to model biological process, such as cardiac electrophysiological systems. In order to separate the models from the implementations, and to facilitate curation, domain specific languages (DSLs) have become a popular and effective means of specifying models (Lloyd et al., 2004; Hucka et al., 2004). In previous papers (Gill et al., 2012a; Gill et al., 2012b; McKeever et al., 2013) we have argued for including parameterised modules as part of such DSLs. We presented our prototype Ode language and showed how models could be created in a generic fashion. In this paper we extend our work with concrete examples and simulation results. We show how complex heart models can be constructed by aggregation, encapsulation and subtyping. Our use-case retraces the steps taken by (Niederer et al., 2009), which investigated the common history between cardiac models, and shows how they can be cast in our language to be reused and extended. Our DSL enables ‘physiol ogical model engineering’ through the development of generic modules exploiting high cohesion and low coupling. (More)

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Paper citation in several formats:
Gill, M.; McKeever, S. and Gavaghan, D. (2014). Model Composition for Biological Mathematical Systems.In Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-007-9, ISSN 2184-4348, pages 217-224. DOI: 10.5220/0004699202170224

@conference{modelsward14,
author={Mandeep Gill. and Steve McKeever. and David Gavaghan.},
title={Model Composition for Biological Mathematical Systems},
booktitle={Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2014},
pages={217-224},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004699202170224},
isbn={978-989-758-007-9},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Model Composition for Biological Mathematical Systems
SN - 978-989-758-007-9
AU - Gill, M.
AU - McKeever, S.
AU - Gavaghan, D.
PY - 2014
SP - 217
EP - 224
DO - 10.5220/0004699202170224

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