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Book Chapter
Statistical Constraints for EAI
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 1939/2000
Book
«UML» 2000 — The Unified Modeling Language
DOI
10.1007/3-540-40011-7
Copyright
2000
ISBN
978-3-540-41133-8
DOI
10.1007/3-540-40011-7_6
Pages
78-92
Subject Collection
Computer Science
SpringerLink Date
Saturday, January 01, 2000
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Statistical Constraints for EAI
John Knapman
7
(7)
IBM, Hursley Park, SO21 2JN Winchester, Hampshire, England
Abstract
Enterprise Application Integration (EAI) often requires a loosely coupled event-based architecture in which timing and statistical measures are important. Statistical constraints are proposed to address some of these requirements, although they may well have broader applicability. This idea is extended to the use of approximate terms such as “some” that can be given a statistical interpretation, as in “Some fault reports give rise to subscriptions.” These can be a convenient way of expressing constraints that are important to the application architecture but are not absolute — abstraction through approximation. They may be used to annotate diagrams in UML and are based on the existing Object Constraint Language (OCL) (
1
). Some of the examples use a more flexible syntax that is the subject of another paper (2).
John
Knapman
Email:
knapman@uk.ibm.com
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