
Business Rules Management and Service Oriented Architecture
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This proposed title brings together the following key ideas inmodern enterprise system development best practice.
* The need for service-oriented architecture (SOA).
* How the former depends on component-based development(CBD).
* Database-centred approaches to business rules (inc.GUIDES).
* Knowledge-based approaches to business rules.
* Using patterns to design and develop business rules managementsystems
Ian Graham is an industry consultant with over 20 years. He isrecognized internationally as an authority on business modelling,object-oriented software development methods and expert systems. Hehas a significant public presence, being associated with both UKand international professional organizations, and is frequentlyquoted in the IT and financial press.
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Person
Ian is well known as a public speaker and writer on advancedcomputing and has published over 60 articles and papers. Hisbooks, Object-Oriented Methods and Migrating to ObjectTechnology are rated best sellers in their field.
Content
Preface.
1 Aligning IT with Business.
1.1 Historical Background.
1.2 What are Business Rules?
1.3 What is Business Rules Management?
1.4 Why use a Business Rules Management System?
1.5 The Benefits.
1.6 Summary.
1.7 Bibliographical Notes.
2 Service Oriented Architecture and SoftwareComponents.
2.1 Service Oriented Architecture and Business Rules.
2.2 Service Implementation using Components.
2.3 Agents and Rules.
2.4 Service Oriented Architecture andWeb Services.
2.5 Adoption Strategies.
2.6 Summary.
2.7 Bibliographical Notes.
3 Approaches to Business Rules.
3.1 Database-centric Approaches.
3.2 GUIDE and the Business Rules Group.
3.3 Using UML and OCL to Express Rules.
3.4 Business Rules Management Systems and Expert Systems.
3.5 Other Developments.
3.6 Standards, Directions and Trends.
3.7 Summary.
3.8 Bibliographical Notes.
4 Business Rules Management Technology andTerminology.
4.1 Rules and Other Forms of Knowledge Representation.
4.2 Knowledge and Inference.
4.3 Inference in Business Rules Management Systems.
4.4 Data Mining and Rule Induction.
4.5 Techniques for Representing Rules.
4.6 Uncertainty Management.
4.7 Ontology and Epistemology: the R^ole of ObjectModelling in.
Natural Language Processing.
4.8 Summary.
4.9 Bibliographical Notes.
5 Features of Business Rules Management Systems.
5.1 The Components and Technical Features of a BRMS.
5.2 BRMS Products.
5.3 A Simple Application.
5.4 Usability Issues.
5.5 Summary.
5.6 Bibliographical Notes.
6 Development Methods.
6.1 Knowledge Acquisition and Analysis.
6.2 System Development.
6.3 Halle's Guidelines.
6.4 Rule Style Guidance.
6.5 Summary.
6.6 Bibliographical Notes.
7 A Pattern Language for BRMS Development.
7.1 What are Patterns?
7.2 Why a Pattern Language?
7.3 The RulePatterns Language - Part I.
7.4 The RulePatterns Language - Part II.
7.5 Related Patterns and Pattern Languages.
APPENDICES.
A The Business Rules Manifesto.
B A Simple Method for Evaluating BRMS Products.
References and Bibliography.
Index.
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