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E-Book/E-Doc
Author Witt, Graham C.

Title Writing effective business rules / Graham Witt.

Imprint [Place of publication not identified] : Morgan Kaufmann, 2011.

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Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Description 1 online resource (xx, 340 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Summary Writing Effective Business Rules moves beyond the fundamental dilemma of system design: defining business rules either in natural language, intelligible but often ambiguous, or program code (or rule engine instructions), unambiguous but unintelligible to stakeholders. Designed to meet the needs of business analysts, this book provides an exhaustive analysis of rule types and a set of syntactic templates from which unambiguous natural language rule statements of each type can be generated. A user guide to the SBVR specification, it explains how to develop an appropriate business vocabulary and generate quality rule statements using the appropriate templates and terms from the vocabulary. The resulting rule statements can be reviewed by business stakeholders for relevance and correctness, providing for a high level of confidence in their successful implementation. A complete set of standard templates for rule statements and their component syntactic elements A rigorous approach to rule statement construction to avoid ambiguity and ensure consistency. A clear explanation of the way in which a fact model provides and constrains the rule statement vocabulary A practical reader-friendly user guide to the those parts of the SBVR specification that are relevant to rule authoring.
Contents The world of rules -- How rules work -- A brief history of rules -- Types of rules -- The building blocks of natural language rule statements -- Fact Models -- How to write quality natural language rule statements -- An end-to-end rule management methodology -- Rule statement templates and subtemplates.
Bibliography Includes bibliographical references and index.
Note Publishers web site.
Subject Business -- Data processing -- Management.
Gestion -- Informatique -- Gestion.
Business -- Data processing -- Management
ISBN 9780123850515 (electronic bk.)
0123850517 (electronic bk.)
Standard No. AU@ 000049013974
CHBIS 007612500
CHNEW 001010386
CHNEW 001026496
CHVBK 18552320X
DEBBG BV042305203
DEBSZ 405340486
NZ1 15189105

 
    
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