Using icon-derived technologies to drive model transformations.
Model transformations are currently the object of much interest and research.
Current proposals for model transformation languages can be divided into two
main camps: those taking a ‘declarative’ approach, and those opting for an ‘imperative’
approach. The Icon programming language is a SNOBOL derivative which
contains several unique constructs which make it particularly well suited to the
job of analyzing and transforming strings. In this paper we discuss model transformations,
analyze the relevant parts of Icon that lend themselves to transforming
strings, and then propose how some of Icon’s unique features could be incorporated
into a model transformation approach that partially blurs the distinction between
‘declarative’ and ‘imperative’ approaches.
|Item Type:||Conference or Workshop Item (Paper)|
|Research Areas:||A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Intelligent Environments Research Group
A. > School of Science and Technology > Computer Science > SensoLab group
|Depositing User:||Devika Mohan|
|Date Deposited:||06 Jul 2010 07:06|
|Last Modified:||13 Oct 2016 14:20|
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