Model transformations in converge.
Model transformations are currently the focus of much interest and research due to the OMG’s QVT initiative. 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. In this paper we detail an imperative, meta-circular, object orientated, pattern matching programming language Converge which is enriched with features pioneered by the Icon programming language,
amongst them: success/failure, generators and goal-directed evaluation. By presenting these features in a language suitable for representing models, we show
that we are able to gain some of the advantages of declarative approaches in an imperative setting.
|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:||Dr Laurence Tratt|
|Date Deposited:||30 Jun 2010 10:25|
|Last Modified:||06 Dec 2016 15:01|
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