Script Dependency Branch Validation for Efficient Software Debugging

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Solution Overview

Problem

Software debugging is inefficient due to complex code dependencies, leading to difficulty in pinpointing errors across multiple code strings, high resource consumption, and delayed notification to appropriate individuals, especially in distributed systems.

Innovation Solution

Implementing an integrated script development and validation platform that detects and records dependencies between code strings, optimizing script attributes based on their impact on application performance, and using machine learning to automate error detection and resolution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If comprehensive debugging across all code strings is performed, then error detection accuracy is improved, but computing resource consumption increases

Engineering Contradiction:

Improveerror detection accuracyVSAvoidcomputing resource consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system segments the codebase into modular units with defined dependencies, allowing selective debugging of specific code segments rather than comprehensive analysis of all code. The dependency graph enables identification and isolation of relevant code segments associated with detected errors, reducing the scope of debugging operations while maintaining detection accuracy.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system applies different debugging intensities to different code segments based on their dependency relationships and error relevance. High-priority segments with direct error associations receive intensive debugging analysis, while segments with no error relationship receive minimal or no analysis, optimizing resource allocation across the codebase.

Inventive Principle:

Principle #3Local quality

2Reliability

If iterative compilation cycles are performed to resolve interconnected errors, then error resolution completeness is improved, but productivity decreases

Engineering Contradiction:

Improveerror resolution completenessVSAvoiddevelopment speed

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary analysis of code dependencies and error relationships before initiating compilation cycles. By pre-processing dependency information and error contexts, the system can target specific interconnected error groups for resolution, reducing the number of iterative cycles needed while ensuring comprehensive resolution of related errors.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms that track error resolution status and update dependency relationships in real-time. As errors are resolved, the dependency graph is dynamically updated to reflect changed relationships, enabling the system to identify newly exposed errors and adjust subsequent debugging focus, thereby improving resolution completeness without requiring exhaustive iterative cycles.

Inventive Principle:

Principle #23Feedback

3Measurement precision

If distributed debugging across multiple systems is implemented, then error detection coverage is improved, but network communication overhead increases

Engineering Contradiction:

Improveerror detection coverageVSAvoidnetwork communication overhead

Core Design Contradiction:

Measurement precisionVSLoss of energy

Solution Approach 1:

The system extracts and localizes dependency information and error contexts to individual distributed nodes, enabling autonomous error analysis at each node. By caching local dependency graphs and error states, nodes can perform debugging operations independently without continuous network communication, reducing communication overhead while maintaining comprehensive error detection coverage across the distributed system.

Inventive Principle:

Principle #2Taking out (Extraction)

4Loss of information

If detailed stack traces and memory inspection are provided, then debugging information quality is improved, but device complexity increases

Engineering Contradiction:

Improvedebugging information qualityVSAvoiddebugging tool complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The system dynamically adjusts the level of debugging detail provided based on error severity, code segment importance, and user context. For critical errors in high-priority segments, comprehensive stack traces and memory inspection data are provided. For less critical errors, summarized information is sufficient. This dynamic adaptation maintains high debugging information quality for essential cases while reducing overall system complexity through selective detail provision.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS12487904B2Systems and methods for integrating script development and script validation platforms based on detected dependency branches in script code

Publication Date: 2025.12.02 CITIBANK N A

AI summary

Systems and methods are described that allow for updating of software applications during testing of the application to detect errors as a result of execution of portions of the software application that prevent downstream portions of the software application from being evaluated. In an example, systems are described that are configured to detect errors during application execution. When an error is detected, the system obtains and executes specific script sets to debug the application. Based on the results of these debug operations, the system generates error reports that indicate issues within the software workflow. This ensures that errors in one part of the software do not hinder the evaluation of subsequent parts, allowing for a more efficient and thorough testing process.