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Corticon.js Rule Modeling

Test, validate, and optimize your rules

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Table of Contents
  • Introduction to Corticon.js rule modeling
  • Create the Vocabulary
    • Generate a Vocabulary
      • Use JSON to generate a vocabulary
      • Use JSON Schema to generate a vocabulary
    • Build a Vocabulary by hand
    • Extend a Vocabulary
      • Enumerations
        • How enumeration labels and values behave
        • Enumerations defined in the Vocabulary
        • Use enumerated Custom Data Types in Rulesheets
        • Use enumerated Custom Data Types in Ruletests
      • Domains
        • Domains in a Rulesheet
        • Domains in a Ruletest
  • Rule scope and context
    • Rule scope
    • Aliases
    • Scope and perspectives in the vocabulary tree
      • How to use roles
  • Rule writing techniques
    • How to generate rules with the AI Assistant
    • How to work with rules and filters in natural language
    • Filters versus conditions
    • Qualify rules with ranges and lists
      • Ranges and lists in conditions and filters
        • Value ranges in condition and filter expressions
        • Value lists in condition and filter expressions
      • Ranges and value sets in condition cells
        • Boolean condition versus values set
          • Exclusionary syntax
          • How to use other in condition cells
        • Numeric value ranges in conditions
        • String value ranges in condition cells
        • Value sets in condition cells
        • Variables as condition cell values
        • DateTime value ranges in condition cells
        • Inclusive and exclusive ranges
        • Value ranges that overlap
        • Alternatives to value ranges
    • How to use standard Boolean constructions
    • How to embed attributes in posted rule statements
    • How to include apostrophes in strings
    • How to initialize null attributes
    • How to handle nulls in compare operations
  • Collections
    • How Corticon Studio handles collections
    • How to visualize collections
    • A basic collection operator
    • How to filter collections
    • How to use aliases to represent collections
    • Advanced collection sorting syntax
    • Using sorts to find the first or last in grandchild collections
    • Singletons
    • Special collection operators
      • Universal quantifier
      • Existential quantifier
      • Another example using the existential quantifier
  • Rules containing calculations and equations
    • Operator precedence and order of evaluation
    • Data type compatibility and casting
      • Data type of an expression
      • Defeating the parser
      • Manipulating JS datatypes with casting operators
    • Supported uses of calculation expressions
      • Calculation as a comparison in a precondition
      • Calculation as an assignment in a noncondition
      • Calculation as a comparison in a condition
      • Calculation as an assignment in an action
    • Unsupported uses of calculation expressions
  • Rule dependency in chaining
  • Filters
    • Full filters
    • Limiting filters
    • Filters that use OR
    • What is a precondition
      • Summary of filter and preconditions behaviors
      • Performance implications of the precondition behavior
    • How to use collection operators in a filter
      • Location matters
      • Multiple filters on collections
      • Aggregations in collections
  • How to recognize and model parameterized rules
    • Parameterized rule where a specific attribute is a variable or parameter within a general business rule
    • Parameterized rule where a specific business rule is a parameter within a generic business rule
  • Logical analysis and optimization
    • Ask the AI Assistant for help
    • Test, validate, and optimize your rules
      • Generate Ruletests
      • Scenario testing
      • Rulesheet analysis and optimization
    • Traditional methods of analyzing logic
      • Flowcharts
      • Test suites
    • Validate and test Rulesheets in Corticon Studio
      • How to expand rules
      • The conflict checker
      • The completeness checker
        • Automatically determine the complete values set
        • Automatically compress the new columns
        • Handle limitations of the completeness checker
        • Let the expansion tool work for you with tabular rules
        • Memory management
      • Logical loop detection
    • Test rule scenarios in the Ruletest Expected panel
      • How to navigate in Ruletest Expected comparison results
      • Review test results when using the Expected panel
        • Output results match expected exactly
        • Different values output than expected
        • Fewer values output than expected
        • More values output than expected
        • All Expected panel problems
      • Techniques that refine rule testing
        • Set selected attributes to ignore validation
        • Use key attributes to improve difference detection in Ruletests
        • Numerical equivalence
    • How to optimize Rulesheets
      • The compress tool
      • How to produce characteristic Rulesheet patterns
      • Compression creates subrule redundancy
      • Effect of compression on Decision Service performance
    • Precise location of problem markers in editors
  • Advanced Ruleflow techniques and tools
    • How to use a Ruleflow in another Ruleflow
    • Conditional branching in Ruleflows
      • Example of branching based on a Boolean
      • Example of branching based on an enumeration
      • Logical analysis of a branch container
      • How branches in a Ruleflow are processed
    • How to generate Ruleflow dependency graphs
  • Troubleshooting Corticon.js Studio problems
    • Where did the problem occur
    • Use Corticon Studio to reproduce the behavior
      • Analyze Ruletest results
      • Trace rule execution
      • Use rule messages to expose values
      • Identify the breakpoint
      • At the breakpoint
        • No results
        • Incorrect results in Studio
    • How to compare and report on Rulesheet differences
  • Customize Corticon.js Studio
Table of Contents

Test, validate, and optimize your rules

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  • Last Updated: June 9, 2021
  • 1 minute read
    • Corticon.js
    • Documentation

Corticon.js Studio provides the rule modeler with tools to test, validate, and optimize rules and Rulesheets prior to deployment. Before proceeding, let's define these terms.

Contents
  1. Generate Ruletests
  2. Scenario testing
  3. Rulesheet analysis and optimization
Previous topic: Ask the AI Assistant for help
Next topic: Traditional methods of analyzing logic
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