Syntax Analyzer Version Detection for Software Compatibility

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Software complexity leads to challenges in lifecycle management and maintenance, particularly in processing instructions across different versions of software applications, where compatibility issues and syntax errors can hinder execution.

Innovation Solution

A computer-implemented method that defines rules for processing instructions at a syntax analyzer, including hint metadata for evaluating validity statuses across different versions. The method determines if a token sequence corresponds to an inactive rule in the current version and identifies a corresponding active rule in another version, providing an indication for executing the instruction in the relevant version.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If software applications continuously provide new versions to improve functionality, then service flexibility and efficiency are enhanced, but software complexity increases causing challenges in lifecycle management and maintenance

Engineering Contradiction:
Improveservice flexibilityVSAvoidsoftware complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the software system into multiple versions with distinct syntax rule sets. Each version maintains its own independent rule configuration, allowing new functionality to be introduced in newer versions without affecting the stability and simplicity of older versions. This segmentation enables parallel maintenance of different version lines.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements dynamic version detection and rule selection mechanisms. The syntax analyzer dynamically determines which version rules to apply based on the input instruction's version identifier, allowing the system to adapt its processing behavior to match the appropriate version's syntax requirements, thus managing complexity through dynamic adaptation rather than static rigid structures.

Inventive Principle:
Principle #15Dynamics

2Adaptability or versatility

If multiple versions of software applications are maintained to meet transforming customer needs, then functionality is improved, but compatibility issues and syntax errors hinder execution

Engineering Contradiction:
ImprovefunctionalityVSAvoidexecution reliability
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent applies preliminary action by pre-defining and storing syntax rules for multiple software versions before execution. When an instruction is received, the system first identifies the target version and retrieves the corresponding pre-configured syntax rules, ensuring that the instruction is validated against the correct version's syntax requirements, thereby preventing compatibility issues and syntax errors.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces a syntax analyzer as an intermediary component between the instruction and the software execution engine. This intermediary validates instructions against version-specific syntax rules, acting as a mediator that ensures compatibility and correctness before the instruction is executed, thus maintaining reliability across multiple versions.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Manufacturing precision

If syntax rules are strictly enforced for each software version, then syntax accuracy is maintained, but processing time increases due to version detection and rule evaluation

Engineering Contradiction:
Improvesyntax accuracyVSAvoidprocessing time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary action by pre-organizing syntax rules into version-specific rule sets and storing them in an accessible structure. This allows the syntax analyzer to quickly retrieve and apply the appropriate rules without extensive searching or evaluation overhead, maintaining syntax accuracy while minimizing processing time.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent applies local quality by tailoring the syntax validation process to each specific version's requirements. Instead of using a single universal validation process, the system applies version-specific validation rules locally, ensuring that each instruction is validated with the precise rules needed for its target version, thereby maintaining high syntax accuracy without unnecessary generic processing overhead.

Inventive Principle:
Principle #3Local quality

4Ease of operation

If the learning process for onboarding customers to new functionality is simplified, then ease of operation is improved, but software complexity management becomes more challenging

Engineering Contradiction:
Improvelearning processVSAvoidlifecycle management complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent implements universality by creating a unified syntax analyzer framework that handles multiple software versions through a common interface and rule management system. This universal framework simplifies the user experience by providing consistent syntax validation across versions while internally managing the complexity of multiple version-specific rule sets, thus easing operation without overwhelming lifecycle management.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS12300223B2Support for syntax analysis during processing instructions for execution
Publication Date: 2025.05.13 SAP SE
  • US12300223B2 patent drawing
  • US12300223B2 patent drawing
  • US12300223B2 patent drawing

AI summary

The present disclosure relates to computer-implemented methods, software, and systems for data processing of instructions requested for execution at a given version of a software system or application. One example method includes defining rules for processing instructions at a syntax analyzer of an application. The rules can include hint metadata for evaluating validity statuses of instructions at different versions of the application. An instruction that includes tokens is receive at the syntax analyzer to determine whether a token sequence corresponds to a rule from the rules. In response to determining that the token sequence corresponds to the rule and the rule is inactive for a current version of the application associated with the syntax analyzer, a second version of the application can be determined that is associated with the corresponding rule as an active rule. An indication of the second version of the application can be provided.