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PLEASE NOTE: The Publications System provided by the Manufacturing Systems Integration Division (MSID) has moved to: http://www.mel.nist.gov/msidlibrary/publications.html. The pages below are maintained for archival purposes only.
Publication summary
Author(s): K.C. Morris, Mary Mitchell and Allison Barnard Feeney
Publication date: May 1993
Citation: K.C. Morris, Mary Mitchell and Allison Barnard Feeney: "Validating STEP Application Models at the National PDES Testbed," NISTIR 5196, National Institute of Standards and Technology, Gaithersburg, MD, 1993.
Availability:
- Postscript
- A paper copy of this document is available by contacting Kristy Thompson [web,email]
Abstract:
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The problem of sharing data has many facets. The need to share data
across multiple enterprises, different hardware platforms,
different data storage paradigms and systems, and a variety of
network architectures is growing. The emerging Standard for the
Exchange of Product Model Data (STEP), a project of the
International Organization for Standardization (ISO), addresses
this need by providing information models which clearly and
unambiguously describe data. These models are organized into
application protocols. An application protocol addresses the
data sharing needs for a particular application area. STEP
integrates the information requirements from all the
application protocols. the validity of these information models
is essential for success in sharing data in a highly automated
environment.
This paper describes how information models will be validated
in the National PDES Testbed at the National Institute of
Standards and Technology, (PDES, Product Data Exchange using
STEP, is the U.S. effort in support of the international
standard.) Application model development and testing is a
complex process which involves synthesizing, analyzing, and
manipulating large amounts of diverse information. Most of the
process relies exclusively on human capabilities for analysis
s, judgment, and interaction; however, part of this process can
and should be automated. A strategy for automation is based on
an analysis of the flow of information in the model development
and testing process and initial experiences with automation for
validation testing at the National PDES Testbed.
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