000 02742nam a2200277Ia 4500
999 _c11648
_d11648
003 OSt
005 20231010025021.0
008 151013s2012 maua f b 001 0 eng d
020 _a9780123850515 (pbk)
020 _a 0123850517 (pbk)
040 _aUnimy
050 0 0 _aQA76.5913 .W58 2012
_bQA76.5913 .W58 2012
100 _aWitt, Graham C.
245 0 _aWriting effective business rules
_ba practical method
_cGraham Witt.
260 _aWaltham, Mass.
_bMorgan Kaufmann/Elsevier, c
300 _axx, 340 p. :
_bill.
_c23 cm.
504 _aIncludes bibliographical references (p. 303-304) and index
505 _aThe 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
520 _aWriting Effective Business Rules moves beyond the fundamental dilemm a of system design: defining business rules either in natural language, intelligible but often ambiguous, or program code (or rule engine inst ructions), unambiguous but unintelligible to stakeholders. Designed to meet the needs of business analysts, this book provides an exhaustive a nalysis of rule types and a set of syntactic templates from which unamb iguous natural language rule statements of each type can be generated. A user guide to the SBVR [Semantics of Business Vocabulary and Business Rules] specification, it explains how to develop an appropriate busine ss vocabulary and generate quality rule statements using the appropriat e templates and terms from the vocabulary. The resulting rule statement s can be reviewed by business stakeholders for relevance and correctnes s, providing for a high level of confidence in their successful impleme ntation. A complete set of standard templates for rule statements and t heir component syntactic elements A rigorous approach to rule statement construction to avoid ambiguity and ensure consistency. A clear explan ation of the way in which a fact model provides and constrains the rule statement vocabulary A practical reader-friendly user guide to the tho se parts of the SBVR specification that are relevant to rule authoring- - \c Source other than Librray of Congress
650 _aSemantic computing
650 _aRule-based programming
650 _aData structures (Computer science)
650 _aNatural language processing (Computer science)
650 _aElectronic data processing
942 _cBK
_2lcc