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Dominion: an architecture-driven approach to generating efficient constraint solvers

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Author(s)

Dharini Balasubramaniam, Lakshitha Ramesh De Silva, Christopher Anthony Jefferson, Lars Kotthoff, Ian James Miguel, Peter Nightingale

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Abstract

Constraints are used to solve combinatorial problems in a variety of industrial and academic disciplines. However most constraint solvers are designed to be general and monolithic, leading to problems with efficiency, scalability and extensibility. We propose a novel, architecture-driven constraint solver generation framework called Dominion to tackle these issues. For any given problem, Dominion generates a lean and efficient solver tailored to that problem. In this paper, we outline the Dominion approach and its implications for software architecture specification of the solver.
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Original languageEnglish
Title of host publicationProceedings of the 9th Working IEEE/IFIP Conference on Software Architecture (WICSA)
Subtitle of host publicationBoulder, Colorado, USA 20-24 June 2011
Place of PublicationLos Alamiros, CA
PublisherIEEE Computer Society
Pages228-231
Number of pages4
ISBN (Print)978-1-61284-399-5
DOIs
StatePublished - Jun 2011
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Event9th Working IEEE/IFIP Conference on Software Architecture - Boulder, United States
Duration: 20 Jun 2011 → 24 Jun 2011

Conference

Conference9th Working IEEE/IFIP Conference on Software Architecture
CountryUnited States
CityBoulder
Period20/06/11 → 24/06/11

    Research areas

  • Software architecture, Constraint solver, Generative programming

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ID: 11754766