Abstract | ||
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The distributed data problem is characterized by the desire to bring together semantically related data from syntactically unrelated portions of a term. A strategic combinator called transient and a strategic constant called skip are introduced in the context of a higher-order strategic framework. The notion of traversal is lifted to the higher order as well. The resulting framework allows the manipulation of data to be expressed directly in strategic terms. The impact of this dynamic approach to strategy creation is then explored for several instances of the distributed data problem. Problems considered include three strategic benchmarks as well as two transformations that arise within a class loader for the Java virtual machine. |
Year | DOI | Venue |
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2004 | 10.1016/j.scico.2004.03.006 | Sci. Comput. Program. |
Keywords | Field | DocType |
transformation,strategic term,tl,higher-order strategic programming,resulting framework,java virtual machine,table normalization,transient combinator,hats,semantically related data,skip strategy,distributed data problem,java class loader,strategic combinator,class loader,higher-order traversal,rewriting,higher-order rewriting,strategic programming,strategic benchmarks,sandia secure processor,higher-order strategy,dynamic approach,one-layer higher-order traversals,program transformation,data problem,higher-order strategic framework,higher order,relational data | Programming language,Program transformation,Tree traversal,Combinatory logic,Computer science,Strategic programming,Theoretical computer science,Rewriting,Loader,Java virtual machine | Journal |
Volume | Issue | ISSN |
52 | 1-3 | Science of Computer Programming |
Citations | PageRank | References |
17 | 0.94 | 26 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Victor L. Winter | 1 | 110 | 17.04 |
Mahadevan Subramaniam | 2 | 204 | 25.78 |