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dc.contributor.authorLane, P.C.R.
dc.contributor.authorGobet, F.
dc.date.accessioned2009-05-18T07:32:43Z
dc.date.available2009-05-18T07:32:43Z
dc.date.issued2008-04
dc.identifier.citationLane , P C R & Gobet , F 2008 , A Methodology for Developing Computational Implementations of Scientific Theories . in Procs 10th Int Conf on Computer Modeling and Simulation : UKSIM 2008 . IEEE , pp. 392-397 . https://doi.org/10.1109/UKSIM.2008.62
dc.identifier.isbn0-7695-3114-8
dc.identifier.otherPURE: 1796622
dc.identifier.otherPURE UUID: 7e656ece-8def-4e7d-9042-d2181467531b
dc.identifier.otherdspace: 2299/3401
dc.identifier.otherScopus: 50149092231
dc.identifier.urihttp://hdl.handle.net/2299/3401
dc.description“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”
dc.description.abstractComputer programs have become a popular representation for scientific theories, particularly for implementing models or simulations of observed phenomena. Expressing a theory as an executable computer program provides many benefits, including: making all processes concrete, supporting the development of specific models, and hence enabling quantitative predictions to be derived from the theory. However, as implementations of scientific theories, these computer programs will be subject to change and modification. As programs change, their behaviour will also change, and ensuring continuity in the scientific value of the program is difficult. We propose a methodology for developing computer software implementing scientific theories. This methodology allows the developer to continuously change and extend their software, whilst alerting the developer to any changes in its scientific interpretation. We introduce tools for managing this development process, as well as for optimising the developed models.en
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofProcs 10th Int Conf on Computer Modeling and Simulation
dc.rightsOpen
dc.subjectcomputational modelling
dc.subjecttesting methodology
dc.titleA Methodology for Developing Computational Implementations of Scientific Theoriesen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionScience & Technology Research Institute
dc.relation.schoolSchool of Computer Science
dc.description.versiontypeFinal Accepted Version
dcterms.dateAccepted2008-04
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1109/UKSIM.2008.62
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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