Page Index - Gnorion/BizVR GitHub Wiki

665 page(s) in this GitHub Wiki:

• Home
• BizVR Business Language
• Introduction
• A DMN BVR Validation Case Study
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• A Testing Example (T03)
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• Abstract Decision Tables
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• ABSTRACTING TABLES TO COVER MUCH MORE THAN RULES
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• Access Control For Decision and Tables
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• Aggregating Dependencies across Decisions within a Project
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• All Pages
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• Alternate Representation for Resource Allocation
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• Alternative Decision Structures using included function libraries
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• Analyzing Complex Decisions
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• Automated Test Data Generation
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• Automatic Creation of Client Interfaces
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• Automatic Generation of Test Cases in JSON Format Using Validator
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• Automatic Rule Discovery
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• Automatically Inferring The Data Model From The Rules
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• Automating the Checking of Test Results against Expected results
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• Automating the Generation Of Test Data
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• Batch Execution of the Validation Process
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• Benefits of Testing Tables Individually
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• BizVR Architecture (Importers, Exporters, Modelers, Validators, Executors)
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• BizVR Auto Fixit Button
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• BizVR Consulting
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• BizVR Discussion
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• BizVR Entity Relationship Diagram (Structure, UML)
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• BizVR Entity Relationship Diagram Extended for Expressions
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• BizVR Export File Example
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• BizVR JSON Export File Format
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• BizVR Project Diagram
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• BizVR Summary and Categories
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• BizVR Summary and Links to Topics
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• BizVR to DMN Collection Mapping
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• BizVR to DMN Comparison Mapping
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• BizVR to DMN Data Type Mapping
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• BizVR to DMN Disjunction Mapping
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• BizVR to DMN FEEL Expression Mapping
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• BizVR to DMN Iteration Mapping
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• BizVR to DMN Negation Mapping
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• BizVR to DMN Numbers Mapping
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• BizVR to DMN Other Mapping
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• BizVR to DMN Predefined Values Mapping
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• BizVR to DMN Qualified Names Mapping
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• BizVR to DMN Ranges Mapping
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• BizVR to DMN Strings Mapping
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• BizVR to DMN Temporal Mapping
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• BizVR Training Classes
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• BizVR Tutorial
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• Business Decisions
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• Case Study Transportation Scheduling
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• Case Study Transportation Scheduling Approach 1 Standard Decision Tables with Inferencing
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• Case Study Transportation Scheduling Approach 2 Functions
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• Case Study Transportation Scheduling Approach 3 Methods and Polymorphism
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• Case Study Transportation Scheduling Approach 4 Pure Functions
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• Categories
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• Category A A Example
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• Category s A Example
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• Category s s Example
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• Category Theory and Decision Tables
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• Category Theory definition
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• Certainty Factors
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• Checking the completeness of the rules
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• Checking the consistency of the rules
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• Checking the Quality of Business Rules
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• Checking the rules for constraint violations
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• Checking the rules for redundancies
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• Checking the rules for values set and tested
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• CIRCULAR REFERENCE WITHIN AND ACROSS RULESETS
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• Classes Of Decision
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• Collection = function of collection(s)
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• Collections Expressions (DMN Compatible)
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• Collections Functions
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• Collections Methods
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• Comparing Decision Models
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• Complete Examples with Execution
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• Complex Decision Example
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• Composition of Methods
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• Constraints on Values Sets for an Attribute
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• Context Bindings
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• Creating Named and Dynamic Collections
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• Date Functions
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• Date Methods
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• Decimal Functions
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• Decimal Methods
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• Decision Data Structural Levels (RGB)
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• Decision Data Structural Levels (TLP)
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• Decision Dependency Diagram ‐ Alternative Display Options
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• Decision Management Community Rule Modeling Challenge Problems
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• Decision Model Structure (Graph)
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• Decision Ontology
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• Decision Table Compression (Eliminate Redundancies)
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• Decision Table Dependency Rules
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• Decision Table DRD Views
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• Decision Table Factor Out Complex Expressions
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• Decision Table Keywords
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• Decision Table Merging
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• Decision Table Semantics
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• Decision Table Splitting
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• Decision Table Syntax and Semantics
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• Decision Table Views
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• Decision Tables and Collections
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• Decision Tables as Class Methods
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• Decision Tables as Composed Methods
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• Decision Tables as Functions
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• Decision Tables as Instance methods
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• Decision Tables as the Universal Modeling Paradigm
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• Decision Tables Rules about different Types
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• Decision Testing Strategies
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• Decision Trees
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• Decision Variable Cross Reference Report
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• Decisions about Decisions (Reflective Decisions)
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• Decisions and Rules Involving Expressions
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• Decisions as Pure Functions (no side effects)
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• Decisions With Unconnected Tables
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• Defining Abstract Decision Tables
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• Defining Access Control Using Decision Tables
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• Defining API Calls Using Decision Tables
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• Defining Applications using Decision Tables
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• Defining Arbitrary Components as Decision Tables
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• Defining Business Logic Using Decision Tables
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• Defining Complex Data Using Decision Tables
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• Defining Constraints in Decision Tables
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• Defining Database Access Using Decision Tables
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• Defining Decision tables to Explain Predictive Models
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• Defining Decision Trees Using Decision Tables
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• Defining Declarative Logic Using Decision Tables
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• Defining Event Processing Using Decision Tables
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• Defining Frameworks Using Decision Tables
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• Defining Functions as Decision Tables
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• Defining Fuzzy Models Using Decision Tables
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• Defining Grammars Using Decision Tables
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• Defining Graphs and Graph Processing Logic Using Decision Tables
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• Defining Interactive Dialogs Using Decision Tables
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• Defining Introspective Decision Tables
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• Defining Logic Programming Using Decision Tables
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• Defining Lookup Tables as Decision Tables
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• Defining Map Reduce Using Decision Tables
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• Defining Monitoring Logic Using Decision Tables
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• Defining Multi Dimensional Spreadsheets as Decision Tables
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• Defining Ontologies Using Decision Tables
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• Defining Optimization Logic Using Decision Tables
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• Defining Parallel Execution Using Decision Tables
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• Defining Pattern Matching Logic as Decision Tables
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• Defining Performance Monitoring Logic Using Decision Tables
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• Defining Probabilistic Models Using Decision Tables
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• Defining Process Orchestrations Using Decision Tables
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• Defining Quality Rules as Decision Tables (Meta Rules)
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• Defining Quantum computations using decision tables
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• Defining RDF Triple Processing Using Decision Tables
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• Defining Test Data For The Transportation Scheduling Example
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• Defining Test Data Using Decision Tables
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• Defining Test Values as Decision Tables
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• Defining Validator Behavior Using Decision Tables
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• Defining Validator Settings as Decision Tables
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• Dependencies Between Multiple Decisions
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• Deployment of Decisions
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• Design Time Checking vs Execution Time Checking
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• Detecting Conflicts in Conditions that use Expressions
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• Determining Dependency between Decision Tables
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• Different Types of Decision Tables
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• DMN Complex Objects and Expressions to Process
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• DMN Projections
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• Documents for Download
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• Dynamic Questionnaires in Decision Tables
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• Eliminating Redundant Rules
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• Example of a Decision Using Functions and Methods
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• Examples of Decisions
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• Executing BizVR Decision Models in Test Mode (RGB)
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• Expressions
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• Extending BizVR To Handle Complex Expressions
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• Extending the Functionality of a Decision Model
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• EXTENDING THE MODEL WITH A PRD (Project Requirements Diagram)
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• FEEL Contexts
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• FEEL Functions
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• FEEL Lists
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• FEEL Numbers
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• FEEL Ranges
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• Forward and Backward Chaining Analysis
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• FULL INDEX
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• Functional Programming vs. Object oriented Programming
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• Functions and Methods
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• General Thoughts About Table Types
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• Generating an Aion app from the Model
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• Generating Test Cases
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• Generic Test Case Generation From DMN
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• Generic Test Case Handler Modeled in DMN
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• Handling NOT
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• Handling other
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• Handling Overlapping Ranges
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• How do I...
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• How Do you Invoke a Framework
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• How is a Framework Used
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• How to Compare json Results using js and deep diff
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• How to Create a Complete List of all your Projects and Decisions
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• How to Create New Instances of a Class
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• How to edit inputs and outputs
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• Identifying Unconnected Subgraphs in Decision Models
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• Identifying Unconnected Subgraphs in Decision Models (single table with unrelated rules)
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• IMPLEMENTING Q&A ASSESSMENTS IN BIZVR
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• Importing Excel Spreadsheets into BizVR
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• Importing models from external sources
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• Including externally defined function libraries
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• INDEX
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• Index 2023 08 10
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• Index 2023 09 17
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• Index Of Functions
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• Index Summary
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• Inferencing with Decision Tables
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• Inheritance and Secialization of Decision Tables
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• Inheritance and Specialization of Methods and Functions
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• Integer Functions
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• Integer Methods
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• J11 Project Dependency Diagram
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• J16 Rules As Text
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• Jan 2018 Order Promotions
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• Labels and Expressions in BVR and DMN
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• Managing the Validation and Testing of Large and Complex Decisions
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• Mapping of Tables and Expressions (DMC02)
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• Mapping of Tables and Expressions (SCH015)
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• Methodology for Modeling Decisions
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• Methods
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• Mini Case Study
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• Miscellaneous Documents for Download
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• Modes of Execution
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• Negation in Rules
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• Object = function of object(s)
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• Object = function of values(s)
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• One Modeling Environment to Bind Them All
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• Open World vs Closed World for Completeness
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• Optimizing BizVR Collection Processing Using Pattern Matching and Iteration
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• Overlapping Ranges Test Cases
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• Passing Arguments to Methods and Functions
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• Permutations and Combinations
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• Process Orchestration
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• Processing Collections With Decision Tables
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• Prolog Examples
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• RDF
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• RDF and Dependency Graphs
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• Recursive Decision Table Functions
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• Refactoring Decision Tables
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• Representing FEEL Expressions in Table Format
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• Resource Allocation Alternative Approaches
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• Resource Allocation Case Study
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• Resource Allocation Example Using BizVR Decision Tables
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• Resource Allocation Flat Data Model Standard Decision Tables
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• Resource Allocation Flat Data Model Using Functions and Methods
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• Resource Allocation Functional Model
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• Resource Allocation Inheritance and Polymorphism Model
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• RGB Case Study
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• Rule Ambiguity When Variables are Involved
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• Rule Development Methodology
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• Rule Validation
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• Section J31 Test Cases JSON Format
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• SELF ASSEMBLY OF COMPONENTS
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• Semantic Indexing of Documents
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• Sep 2015 Collections of Cars
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• setting default price with exceptions covered by explicit rules
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• Simplification of Ranges
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• Some examples of complex expressions
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• Stateful and Stateless Models
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• String Functions
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• String Methods
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• String Similarity Checking
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• Substring
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• Summary of New Features 8 5 2024
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• Supported Conversion Paths (Import Export)
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• TECHNICAL ‐ How are Test Cases Generated Automatically
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• Temporary example
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• Test Case Generation ‐ Positive and Negative and Combined Tests
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• Test Cases For Numeric Conditions
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• Test Data Generation Using Seeding Tables
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• Testing a Complex Decision with Many Tables
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• Testing and Validation Options for Large Models
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• Testing Example
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• Testing Related Groups of Tables
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• Testing Single Rules With Positive and Negative Test Cases
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• The Testing Process Inside BizVR
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• Thoughts on DMN Expressions
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• Thoughts on extracting the variable names and types from conditions and actions
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• Thoughts on Testing Strategies
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• TLP Insurance Case Studies
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• TLP Insurance Combined Decision and Ontology
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• TLP Insurance Credit Scoring Sub Decision
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• TLP Insurance Developed Using BizVR
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• TLP Insurance Inheritance
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• TLP Insurance Ontology Only
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• TLP Insurance Using Credit Scoring Sub Decision
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• TLP Insurance Using Functions Case Study
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• TLP Insurance Using Inferencing Case Study
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• Toy Example
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• Transportation Scheduling Execution Example
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• Truth Maintenance
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• TRV10 Dependency Audit Report
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• TRV10 Dependency Example Decision Tables
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• Tutorial Creating Decision Table Functions
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• Tutorial Using The Validation Tool
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• Tutorial Automating test data generation
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• Tutorial Automating the checking of results
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• Tutorial Defining The Decision Properties
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• Tutorial How to test a decision model
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• Tutorial Reference Example
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• Tutorial Some Examples of JSON
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• Tutorial Testing with a collection of inputs
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• Tutorial Topics Summary
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• Unification (i.e. Prolog)
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• Useful References
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• Using ChatGPT To Build DMN models Automatically
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• Using OTHER in rules
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• UTUBE Demo Script
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• Validating Aggregations of Decisions or Tables
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• Validation and Testing in Stages
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• Validation Error Codes
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• Validation Error Messages (new json Format)
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• Validation JSON file (current format)
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• Validation of Decisions Within A Project
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• Validation of Single Tables
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• Validation of the DMN DRG Dependency Diagram
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• Validation Options
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• Validation Statistics
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• Validation Summary
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• Validator Report Sections
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• Value = function of Collection(s)
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• Value = function of object(s)
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• Value = function of value(s)
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• Versioning and Effective Dating
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• Vertical vs Horizontal Decision Tables
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• Visualizing the Execution of Decision Models
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• Weather Rules
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• What are Functions
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• What Does a Framework Look Like
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• What is BizVR
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• Why Is BizVR Different
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• Why You Should Use BizVR to Analyze DMN Models
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