Page Index - Gnorion/BizVR GitHub Wiki

333 page(s) in this GitHub Wiki:

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