Automated Data Dump Formatting via Dynamic Control Structures

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Solution Overview

Problem

Manual analysis of large data dumps in hexadecimal format is prone to errors and time-consuming due to the need for iterative examination of similar control blocks, making it inefficient for debugging processes.

Innovation Solution

A computer-implemented method that identifies a data dump and a predefined data structure, parses the structure to determine identifiers, and formats the dump based on matches found, automating the process to reverse hex values into their original definitions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual analysis of data dumps is performed, then detailed examination of hex values is possible, but the process is time-consuming and error-prone

Engineering Contradiction:

Improveanalysis accuracyVSAvoidanalysis time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical analysis with an automated computer-based system that parses hex dumps and matches patterns algorithmically, eliminating human error and dramatically reducing analysis time while maintaining or improving accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service analysis by automatically performing the entire data dump analysis process without human intervention, from parsing hex values to identifying control blocks and generating results, making the system both faster and more reliable

Inventive Principle:

Principle #25Self-service

2Reliability

If iterative examination of control blocks is performed, then thorough analysis is achieved, but the process becomes repetitive and inefficient

Engineering Contradiction:

Improveanalysis thoroughnessVSAvoidanalysis efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent implements periodic pattern matching by systematically applying predefined patterns to identify control blocks at regular intervals throughout the data dump, ensuring thorough coverage while maintaining high speed through automated repetition

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The system uses universal pattern-matching algorithms that can identify multiple types of control blocks using the same underlying mechanism, allowing one system to handle diverse analysis tasks efficiently without requiring separate iterative processes for each block type

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Loss of information

If manual reading of bytes and bits is performed, then detailed data inspection is possible, but the process is prone to human error

Engineering Contradiction:

Improvedata inspection completenessVSAvoiderror rate

Core Design Contradiction:

Loss of informationVSReliability

Solution Approach 1:

The patent replaces manual reading with automated computer-based parsing that systematically extracts and analyzes bytes and bits, eliminating human error while ensuring complete data inspection through algorithmic thoroughness

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system creates and uses copies of predefined patterns to match against data dump content, allowing accurate replication of expected control block structures and enabling reliable identification without manual comparison errors

Inventive Principle:

Principle #26Copying

Data Source

PatentUS11409759B2Data dump formatting utilizing dynamically created control structures

Publication Date: 2022.08.09 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

In one general embodiment, a computer-implemented method includes identifying a data dump and a predefined data structure, parsing the predefined data structure to determine one or more identifiers within the predefined data structure, determining that a match exists between one or more elements of the data dump and the one or more determined identifiers of the predefined data structure, and formatting the data dump utilizing the predefined data structure, in response to the determining.