TALP Management System for Automated Software Functionality Extension

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Solution Overview

Problem

Existing software systems lack efficient methods for automatically extending existing software functionality using new algorithmic solutions without compromising processing performance, especially as organizations face a shortage of software engineers.

Innovation Solution

The system converts algorithms and software codes into Time Affecting Linear Pathways (TALPs) and pairs Input/Output datasets into TALPs with associated prediction polynomials, allowing for the automatic selection and optimization of TALPs through simulation and acceptance criteria.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If software systems use traditional manual software engineering methods to extend functionality, then software quality and reliability are maintained, but productivity decreases due to shortage of software engineers and increased time requirements

Engineering Contradiction:

Improvesoftware functionality extension rateVSAvoidtime for software creation and update

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system enables self-service through automated TALP generation from input datasets, automatic prediction polynomial creation, and autonomous TALP selection based on acceptance criteria. The system serves itself by converting raw data into optimized TALPs without requiring manual software engineering intervention, thus increasing productivity while maintaining quality through algorithmic consistency

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes parameters by transforming static software code into dynamic TALPs with associated prediction polynomials. By varying input datasets and acceptance criteria parameters, the system automatically generates multiple TALP variants and selects optimal ones, enabling rapid functionality extension without manual reprogramming

Inventive Principle:

Principle #35Parameter changes

2Productivity

If software systems automatically generate TALPs from algorithms and code, then productivity increases and software engineer shortage is mitigated, but device complexity increases due to TALP decomposition and management overhead

Engineering Contradiction:

Improvesoftware creation efficiencyVSAvoidTALP management system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system introduces TALPs as intermediary representations between traditional software code and executable functionality. TALPs serve as a mediating layer that automatically decomposes algorithms into time-affecting linear pathways with prediction polynomials, managing complexity through structured intermediate representations rather than direct code manipulation

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system segments software functionality into discrete TALPs with specific acceptance criteria. Each TALP represents a segmented portion of the overall software functionality with its own prediction polynomial, allowing independent generation, testing, and selection of functional segments, thereby managing complexity through modular decomposition

Inventive Principle:

Principle #1Segmentation

3Manufacturing precision

If the system performs comprehensive TALP simulation and optimization with multiple prediction polynomials, then manufacturing precision of software output is improved, but loss of time increases due to extensive simulation requirements

Engineering Contradiction:

Improvesoftware output accuracyVSAvoidsimulation and selection time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system performs preliminary action by generating prediction polynomials in advance during TALP creation. The prediction polynomials are pre-computed from input datasets and acceptance criteria, allowing rapid evaluation of TALP performance without extensive runtime simulation. This preliminary polynomial generation enables quick TALP selection while maintaining output accuracy

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system substitutes mechanical simulation with mathematical prediction. Instead of performing extensive computational simulations to evaluate TALP performance, the system uses analytically derived prediction polynomials to predict TALP behavior and output accuracy. This substitution replaces time-consuming simulation mechanics with efficient mathematical evaluation

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12293173B2Software systems and methods for multiple TALP family enhancement and management

Publication Date: 2025.05.06 C SQUARED IP HOLDINGS LLC

AI summary

Software systems and methods convert algorithms and software codes into time affecting linear pathways (TALPs) via decomposition and convert paired Input/Output (I/O) datasets into TALPs via Value Complexity polynomials. Generated TALPs can be enhanced through merging with other TALPs. TALPs can be grouped by matching the outputs of the TALP-associated prediction polynomials with some set of given criteria into families and cross-families that are useful in a new type of software optimization that allows for output values of grouped TALPs to be modeled, pooled, discretized and optimized to enhance goals or meet user goals.