Transforming Business Rules Into Executable Code

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Solution Overview

Problem

Existing data processing systems face challenges in efficiently translating human-readable business rules into computer-executable code, particularly in handling complex rule sets and producing multiple output values, which can lead to data quality issues and limitations in implementing certain business logic.

Innovation Solution

A method and system that generate transforms for graph-based applications, allowing for the conversion of rule sets into logical expressions, compilation into executable code, and the use of accumulator output variables to handle multiple values, enabling the processing of complex business rules and producing multiple output values efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional data processing systems translate human-readable business rules into computer-executable code, then the rules can be implemented for automated decision making, but the system becomes limited in handling complex rule sets and producing multiple output values efficiently

Engineering Contradiction:

Improvecapability to handle complex rule setsVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments complex rule sets into individual transformable rules, where each rule can be independently processed and transformed. This allows the system to handle complex business logic by breaking it down into manageable units that can be compiled and executed efficiently, resolving the contradiction between handling complexity and maintaining system simplicity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary compilation process that translates human-readable rules into an intermediate representation, which is then transformed into executable code. This intermediary layer simplifies the overall system architecture by providing a clear separation between rule definition and execution, enabling the system to handle complex rules without increasing apparent system complexity.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If the system produces multiple output values for complex rule sets, then data processing capabilities are enhanced, but data quality issues arise

Engineering Contradiction:

Improvedata processing capabilityVSAvoiddata quality

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system performs preliminary validation and type checking during the compilation phase, before actual data processing occurs. This preliminary action ensures that multiple output values are properly typed and validated, preventing data quality issues while maintaining enhanced processing capabilities.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The compilation process incorporates feedback mechanisms that validate rule logic and output definitions, providing error detection and correction before execution. This feedback loop ensures data quality is maintained even when producing multiple output values, resolving the contradiction between productivity and reliability.

Inventive Principle:

Principle #23Feedback

3Ease of manufacture

If human-readable rules are directly implemented without transformation, then implementation is simpler, but the system cannot efficiently handle complex business logic and multiple output values

Engineering Contradiction:

Improverule implementation simplicityVSAvoidbusiness logic handling capability

Core Design Contradiction:

Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The system employs dynamic transformation of rules based on their complexity and requirements. Simple rules remain straightforward implementations, while complex rules undergo automatic transformation into optimized executable forms. This dynamic approach maintains ease of implementation for simple cases while enabling sophisticated business logic handling when needed.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent changes the parameter representation of rules during transformation, converting human-readable parameters into optimized execution parameters. This parameter transformation enables the system to maintain simple rule definition while achieving complex business logic处理能力, resolving the contradiction between implementation simplicity and adaptability.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS8996442B2Processing data using vector fields

Publication Date: 2015.03.31 AB INITIO TECHNOLOGY LLC

AI summary

Disclosed is a method including receiving a rule having at least one rule case for producing an output value based on one or more input values, generating a transform for receiving data from an input dataset and transforming the data based on the rule including producing a first series of values for at least one output variable in an output dataset, at least one value in the first series of values including a second series of values, and providing an output field corresponding to the at least one output variable in the output dataset for storing the second series of values.