Writing Effective Business Rules

Nonfiction, Computers, Advanced Computing, Management Information Systems, Database Management, Data Processing, General Computing
Cover of the book Writing Effective Business Rules by Graham Witt, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Graham Witt ISBN: 9780123850522
Publisher: Elsevier Science Publication: March 15, 2012
Imprint: Morgan Kaufmann Language: English
Author: Graham Witt
ISBN: 9780123850522
Publisher: Elsevier Science
Publication: March 15, 2012
Imprint: Morgan Kaufmann
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Elsevier Science

Cover of the book Computer Vision Technology for Food Quality Evaluation by Graham Witt
Cover of the book Theory of Electrophoresis and Diffusiophoresis of Highly Charged Colloidal Particles by Graham Witt
Cover of the book Practical Handbook of Photovoltaics by Graham Witt
Cover of the book Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI) by Graham Witt
Cover of the book Transgenerational Epigenetics by Graham Witt
Cover of the book Adolescence by Graham Witt
Cover of the book Death Penalty Cases by Graham Witt
Cover of the book Heat Exchanger Equipment Field Manual by Graham Witt
Cover of the book Management Accounting in Enterprise Resource Planning Systems by Graham Witt
Cover of the book Fish Immunology by Graham Witt
Cover of the book Nucleation and Growth of Metals by Graham Witt
Cover of the book Neural Surface Antigens by Graham Witt
Cover of the book Working Guide to Reservoir Engineering by Graham Witt
Cover of the book Solar Energy in Developing Countries by Graham Witt
Cover of the book Reactive Polymers: Fundamentals and Applications by Graham Witt
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy