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Writing Effective Business Rules

A proven practical method for writing unambiguous natural language business rule statements

Graham Witt (Author)

9780123850515

Paperback / softback, published 15 March 2012

360 pages
23.4 x 19 x 2.3 cm, 0.74 kg

"The book takes the study of business rules from theory into practice. This is important as it enables professionals to readily use business rules techniques in the workplace." --Glen Bell, Enterprise Architect and former Senior Manager, Strategy & Architecture, Australian Securities & Investment Commission

"A valuable resource to the individual (and team) wanting to have an in-depth treatment on the how to's of business rules." --Keri Anderson Healy, Editor, BRCommunity.com

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.

Introduction

Chapter 1 – The world of rules

Chapter 2 – How rules work

Chapter 3 – A brief history of rules

Chapter 4 – Types of rules

Chapter 5 – The building blocks of natural language rule statements

Chapter 6 – Fact Models

Chapter 7 – How to write quality natural language rule statements

Chapter 8 – An end-to-end rule management methodology

Chapter 9 – Rule statement templates and subtemplates

Subject Areas: Data capture & analysis [UNC], Information technology: general issues [UB]

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