Software Code Analysis for Project Viability Scoring
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Solution Overview
Problem
Software development processes have become overly complex and burdensome, especially for smaller organizations, requiring more efficient methodologies to enhance quality, maintainability, and project success prediction.
Innovation Solution
A method involving a continuous improvement process on a computer platform that analyzes software code, computes relevant scores for project viability, and optimizes software development efforts by assessing team skills, risk, and design efficiency, integrating machine-based calculations to streamline processes and improve quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional software development methodologies are used, then software quality can be maintained, but the development process becomes overly complex and burdensome
Solution Approach 1:
The patent extracts and automates the code analysis function from manual review processes. A computer-based system automatically analyzes software code to generate quality metrics and project success predictions, removing the complex manual analysis step while maintaining quality assessment capabilities.
Solution Approach 2:
The patent replaces manual human analysis and evaluation processes with an automated computer system. The system uses algorithms to analyze code, calculate quality metrics, and predict project outcomes, substituting the mechanical human review process with an automated computational system.
2Measurement precision
If manual code analysis is performed, then quality assessment can be conducted, but the process is time-consuming and lacks objectivity
Solution Approach 1:
The patent implements continuous automated code analysis that operates throughout the development process rather than requiring discrete manual review periods. The system continuously monitors code changes, calculates quality metrics in real-time, and provides ongoing project success predictions without interrupting development workflows.
Solution Approach 2:
The patent replaces subjective manual code review with objective automated analysis. The computer system uses standardized algorithms to consistently evaluate code quality metrics, eliminating the variability and time consumption associated with human review while providing precise, repeatable measurements.
3Reliability
If comprehensive project assessment is performed, then project viability can be accurately determined, but the planning process becomes more complex
Solution Approach 1:
The patent performs preliminary automated analysis of code quality metrics and project parameters before final planning decisions are made. The system pre-calculates quality scores, risk assessments, and success predictions, providing ready-to-use assessment data that simplifies the final planning process while ensuring comprehensive viability evaluation.
Solution Approach 2:
The patent creates a universal assessment system that simultaneously evaluates multiple project viability factors including code quality, team skills, risk parameters, and design efficiency. This multi-functional system consolidates what would otherwise be separate complex assessment processes into a single integrated platform.
Data Source
AI summary
A method of performing a software development process that includes performing a release execution process that analyzes a software code and stores relevant information associated with the software code. Also, the method includes executing a continuous improvement process that is executing on a computer platform. The continuous improvement process receives the relevant information and computes a plurality of relevant scores to measure the likelihood of success of a software development project. Furthermore, the method includes performing a product planning process that utilizes the relevant scores to assess the viability of the software development project.