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dc.contributor.authorConrad, Marcen_GB
dc.contributor.authorFrench, Timen_GB
dc.contributor.authorHuchard, Marianneen_GB
dc.contributor.authorMaple, Carstenen_GB
dc.contributor.authorPott, Sandraen_GB
dc.date.accessioned2013-02-28T13:49:32Z
dc.date.available2013-02-28T13:49:32Z
dc.date.issued2006
dc.identifier.citationConrad, M., French, T., Huchard, M., Maple, C., and Pott, S. (2006) Enriching the Object-Oriented Paradigm via Shadows in the Context of Mathematics, 5(6): 107-126 Journal of Object Technologyen_GB
dc.identifier.issn1660-1769
dc.identifier.urihttp://hdl.handle.net/10547/270637
dc.description.abstractIt is well-known that few object-oriented programming languages allow objects to change their nature at run-time. In this paper we discuss the need for object-oriented programming languages to reflect the dynamic nature of problems, particularly those arising in a mathematical context. It is from this context that we present a framework, together with a Java-like implementation of that framework, that realistically represents the dynamic and evolving characteristic of problems and algorithms.
dc.language.isoenen
dc.publisherETH Zurich, Chair of Software Engineeringen_GB
dc.relation.urlhttp://hal-lirmm.ccsd.cnrs.fr/lirmm-00120306/en/en_GB
dc.relation.urlhttp://www.jot.fm/issues/issue_2006_07/article4/en_GB
dc.subjectobject oriented programmingen_GB
dc.subjectshadowsen_GB
dc.titleEnriching the object-oriented paradigm via shadows in the context of mathematicsen
dc.typeArticleen
dc.identifier.journalJournal of Object Technologyen_GB
html.description.abstractIt is well-known that few object-oriented programming languages allow objects to change their nature at run-time. In this paper we discuss the need for object-oriented programming languages to reflect the dynamic nature of problems, particularly those arising in a mathematical context. It is from this context that we present a framework, together with a Java-like implementation of that framework, that realistically represents the dynamic and evolving characteristic of problems and algorithms.


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