Defect Analysis Tool Matrix Parameter Reduction Prioritization

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Solution Overview

Problem

Organizations face challenges in quickly identifying and prioritizing errors in complex data systems, leading to inefficient remediation processes due to the massive size of data handled and the complexity of issues, where developers often spend time fixing minor errors before addressing more significant ones, resulting in delayed overall remediation.

Innovation Solution

A defect analysis and remediation tool that models the system to locate errors by ranking complexities from least complex to most complex, using a matrix model with adjustable parameters to prioritize errors for remediation, assuming lower complexity errors have a larger impact on system outputs, and sends the least complex error outputs to administrators for remediation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If developers manually identify and fix errors in complex data systems, then errors can be remediated, but the process becomes inefficient and time-consuming due to the massive size of data and complexity of issues

Engineering Contradiction:
Improveremediation efficiencyVSAvoidtime to identify and prioritize errors
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent introduces an automated error prioritization system that acts as an intermediary between error detection and remediation. This system analyzes error data, assigns priority scores based on multiple criteria (impact, frequency, severity), and automatically ranks errors for remediation. This intermediary layer eliminates the need for manual error prioritization, significantly improving remediation efficiency while reducing the time lost in identifying and prioritizing errors among thousands of issues.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If developers address all errors equally without prioritization, then comprehensive remediation can be achieved, but resources are wasted on minor errors while critical errors remain unaddressed

Engineering Contradiction:
Improvesystem accuracyVSAvoidcomplexity of error management process
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies local quality by differentiating error handling based on their specific characteristics. Instead of treating all errors uniformly, the system assigns different priority levels to different errors based on their impact, frequency, and severity. Critical errors that significantly affect system accuracy are identified and addressed first, while minor errors are handled subsequently. This localized approach to error management ensures that resources are allocated efficiently to where they are most needed, improving system reliability without requiring overly complex manual intervention for every error.

Inventive Principle:
Principle #3Local quality

3Adaptability or versatility

If the system handles massive quantities of data to meet complex business cases, then business requirements are satisfied, but the number of errors increases making remediation overwhelming

Engineering Contradiction:
Improveability to handle complex business casesVSAvoidnumber of errors in the system
Core Design Contradiction:
Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The patent implements partial action by focusing remediation efforts on the most critical subset of errors rather than attempting to address all errors simultaneously. The automated prioritization system identifies and ranks the top priority errors that have the greatest impact on system functionality and accuracy. By concentrating resources on this partial set of high-impact errors first, the system can achieve significant improvements in data handling capability and business case support without being overwhelmed by the total quantity of errors. This approach allows the system to progressively improve while maintaining adaptability to complex business requirements.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS11068333B2Defect analysis and remediation tool
Publication Date: 2021.07.20 BANK OF AMERICA CORP
  • US11068333B2 patent drawing
  • US11068333B2 patent drawing
  • US11068333B2 patent drawing

AI summary

An apparatus includes a database and a processor. The database stores a set of inputs and a set of outputs, some of which are labeled as inaccurate. The processor forms a matrix of basis functions to represent the system that generated the outputs, such that a solution exists to the equations formed by multiplying the matrix by a vector of the inputs and setting this equal to a vector of the outputs. The processor reduces the number of adjustable parameters in a first row of the matrix associated with a first inaccurate output and determines that a solution to the matrix equation still exists. The processor reduces the number of adjustable parameters in a second row of the matrix associated with a second inaccurate output and determines that a solution to the matrix equation no longer exists. The processor sends the first output as a remediation candidate to an administrator.