Application Maturity Assessment Using NLP Gap Detection

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing software development processes rely heavily on domain expert judgment for compliance with industry standards, which is time-intensive and limits delivery quality.

Innovation Solution

An NLP-based recommendation engine that automatically identifies gaps in software development criteria using decision trees and real-time data extraction from public databases, providing customizable and accurate recommendations to improve maturity levels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If domain expert judgment is used for compliance assessment, then accuracy of compliance evaluation is improved, but time consumption increases and productivity decreases

Engineering Contradiction:

Improvecompliance evaluation accuracyVSAvoiddevelopment speed

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces the manual domain expert judgment process with an automated NLP-based system that uses decision trees and machine learning models to assess compliance. The system extracts information from development artifacts using natural language processing and automatically evaluates compliance against industry standards, eliminating the need for time-consuming manual expert review while maintaining assessment accuracy.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service compliance assessment by automatically analyzing development artifacts and generating compliance reports without requiring continuous human expert intervention. The automated decision tree model independently evaluates compliance status, allowing the development process to self-assess and self-correct without relying on external expert time.

Inventive Principle:

Principle #25Self-service

2Reliability

If manual compliance assessment is performed, then thoroughness of evaluation is improved, but time required for delivery increases

Engineering Contradiction:

Improvecompliance thoroughnessVSAvoiddelivery time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces manual compliance assessment mechanisms with automated NLP-based evaluation systems that continuously monitor development artifacts. The system uses decision trees and machine learning models to thoroughly evaluate compliance with industry standards while operating at the speed of automated processing, eliminating bottlenecks caused by manual review time.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system provides continuous compliance monitoring throughout the development lifecycle rather than performing periodic manual assessments. The automated system operates continuously, extracting and evaluating compliance information from development artifacts as they are created, ensuring thorough compliance checking without interrupting or delaying the development timeline.

Inventive Principle:

Principle #20Continuity of useful action

3Productivity

If automated NLP-based system is implemented, then productivity is improved, but system complexity increases

Engineering Contradiction:

Improvedevelopment efficiencyVSAvoidsystem architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the complex compliance assessment system into distinct functional modules: information extraction module, decision tree evaluation module, and compliance reporting module. Each module handles a specific aspect of the compliance assessment process independently, making the overall system more manageable and easier to implement while maintaining high productivity through automation.

Inventive Principle:

Principle #1Segmentation

4Manufacturing precision

If industry standard compliance is strictly enforced, then quality of software development is improved, but development flexibility decreases

Engineering Contradiction:

Improvesoftware qualityVSAvoiddevelopment flexibility

Core Design Contradiction:

Manufacturing precisionVSAdaptability or versatility

Solution Approach 1:

The system provides real-time feedback on compliance status to development teams, highlighting specific areas where industry standards are not met. This feedback mechanism enables teams to adjust their development practices to improve software quality while maintaining the flexibility to adapt to different project requirements and organizational needs through targeted improvements rather than rigid compliance.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12585464B2Application maturity data processing for software development

Publication Date: 2026.03.24 ACCENTURE GLOBAL SOLUTIONS LTD

AI summary

An application development data processing system identifies one or more of a plurality of criteria associated with the development of a software application that do not meet standards and provides recommendations for improvement of the lagging criteria. Responses to questions about the plurality of criteria are clustered and queries are generated from a set of response clusters. The queries are executed to extract information from external data sources and a set of result clusters are generated from the extracted information. The maturity levels of the plurality of criteria for the software application development are determined based on a comparison of the maturity levels of the set of response clusters and the set of result clusters. Recommendations are output to improve the maturity levels of the lagging criterion.