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Transactions on Pattern Languages of Programming I pp 1–47Cite as

A Pattern Language for Extensible Program Representation

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Part of the book series: Lecture Notes in Computer Science ((TPLOP,volume 5770))

Abstract

For the last 15 years, implementors of multiple view programming environments have sought a single code model that would form a suitable basis for all of the program analyses and tools that might be applied to the code. They have been unsuccessful. The consequences are a tendency to build monolithic, single-purpose tools, each of which implements its own specialized analyses and optimized representation. This restricts the availability of the analyses, and also limits the reusability of the representation by other tools. Unintegrated tools also produce inconsistent views, which reduce the value of multiple views.

This article describes a set of architectural patterns that allow a single, minimal representation of program code to be extended as required to support new tools and program analyses, while still maintaining a simple and uniform interface to program properties. The patterns address efficiency, correctness and the integration of multiple analyses and tools in a modular fashion.

A preliminary version of this article was workshopped at Pattern Languages of Programming (PLoP) 21st–23rd October 2006, Portland, OR, USA.

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Author information

Authors and Affiliations

  1. The Technion,  

    Daniel Vainsencher

  2. Portland State University,  

    Andrew P. Black

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  1. Daniel Vainsencher
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  2. Andrew P. Black
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Editor information

Editors and Affiliations

  1. School of Engineering and Computer Science, Victoria University of Wellington, 6140, Wellington, New Zealand

    James Noble

  2. Siebel Center for Computer Science, 201 North Goodwin Avenue, 61801, Urbana, IL, USA

    Ralph Johnson

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Vainsencher, D., Black, A.P. (2009). A Pattern Language for Extensible Program Representation . In: Noble, J., Johnson, R. (eds) Transactions on Pattern Languages of Programming I. Lecture Notes in Computer Science, vol 5770. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10832-7_1

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  • DOI: https://doi.org/10.1007/978-3-642-10832-7_1

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