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Course Outline

Short introduction to rule engines

  1. Brief history of Expert Systems and Rules Engines
  2. Understanding Artificial Intelligence
  3. Forward chaining versus backward chaining
  4. Declarative approaches versus procedural/object-oriented programming
  5. Comparison of available solutions
  6. When to utilize rule engines?
  7. When to avoid rule engines?
  8. Alternatives to rule engines

KIE

  1. Declarative models versus traditional fact models
  2. Executing simple rules with straightforward tests
  3. Authoring assets
  4. Decision tables
  5. Rule templates
  6. Guided rule editor
  7. Testing, limitations, and benefits
  8. Developing simple processes that incorporate rules

Writing rules in Eclipse

  1. Stateless versus stateful sessions
  2. Selecting the appropriate facts
    • Basic operators and Drools-specific operators
    • Basic accumulate functions (sum, max, etc.)
    • Intermediate calculations
  3. Inserting new facts
  4. Exercises (numerous hands-on examples)

Ordering rules with BPMN

  • Salience
  • Ruleflow versus BPMN 2.0
  • Executing a rule set from a process
  • Distinguishing rules from gateways
  • Overview of BPMN 2.0 features (transactions, exception handling)
  • Comprehensive declarative business logic in Drools

Domain Specific Languages (DSL)

  • Creating new languages
  • Preparing DSL for management consumption
  • Basic Natural Language Processing (NLP) using DSL
  • Strategies for writing DSL based on rules
  • Strategies for translating analyst-written DSL into rules

Unit testing

  1. Testing strategies (test per case versus test per rule)
  2. Automating test execution

Requirements

While not mandatory, programming proficiency in any language (such as SQL, Java, C#, or VBA) is strongly recommended.

 21 Hours

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