research-article

Acme: an architecture description interchange language

Authors:

David Garlan,

Robert Monroe,

David WileAuthors Info & Claims

CASCON '10: CASCON First Decade High Impact Papers

Pages 159 - 173

https://doi.org/10.1145/1925805.1925814

Published: 01 November 2010 Publication History

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Abstract

Numerous architectural description languages (ADLs) have been developed, each providing complementary capabilities for architectural development and analysis. Unfortunately, each ADL and supporting toolset operates in isolation, making it difficult to integrate those tools and share architectural descriptions. Acme is being developed as a joint effort of the software architecture research community as a common interchange format for architecture design tools. Acme provides a structural framework for characterizing architectures, together with annotation facilities for additional ADL-specific information. This scheme permits subsets of ADL tools to share architectural information that is jointly understood, while tolerating the presence of information that falls outside their common vocabulary. In this paper we describe Acme's key features, rationale, and technical innovations.

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Index Terms

Acme: an architecture description interchange language
1. Hardware
2. Software and its engineering
  1. Software notations and tools
    1. Compilers

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Information & Contributors

Information

Published In

CASCON '10: CASCON First Decade High Impact Papers

November 2010

274 pages

Conference Chairs:
Joanna Ng
IBM Canada Lab, Toronto
,
Christian Couturier
Institute for Information Technology, National Research Council Canada
,
Editors:
Hausi A. Müller
University of Victoria
,
Arthur Ryman
IBM Canada
,
Anatol W. Kark
National Research Council Canada

Publisher

IBM Corp.

United States

Publication History

Published: 01 November 2010

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Research-article

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CASCON '10

CASCON '10: Center for Advanced Studies on Collaborative Research

November 1 - 4, 2010

Ontario, Toronto, Canada

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Overall Acceptance Rate 24 of 90 submissions, 27%

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https://doi.org/10.1016/j.jss.2025.112333
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