Code Reuse Impact Quantification for Resource Savings Analysis
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Solution Overview
Problem
There is no known method to estimate the precise amount of money or time saved through software code reuse, hindering the optimization of software development processes.
Innovation Solution
An automated system and method for quantifying the impact of code reuse by estimating the amount of reused code, resource cost, and resource savings, providing a report and recommending modifications based on these estimates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If code reuse is increased to reduce development costs and time, then productivity and resource efficiency are improved, but the ability to precisely measure and quantify the impact of code reuse is insufficient
Solution Approach 1:
The patent implements a feedback mechanism by analyzing source code to detect reused code segments, calculating resource savings, and providing this information back to developers and management. This closed-loop feedback enables precise measurement of code reuse impact while maintaining high productivity through automated analysis tools that continuously monitor and report reuse metrics.
Solution Approach 2:
The patent replaces manual estimation and tracking of code reuse impacts with automated computational analysis. By using algorithms to scan source code, identify reused segments, and calculate resource savings automatically, the system achieves precise measurement without the time-consuming manual processes that would otherwise hinder productivity.
2Measurement precision
If manual tracking of code reuse is performed to understand resource savings, then measurement precision is improved, but time consumption and complexity increase
Solution Approach 1:
The patent enables the codebase to self-analyze by implementing automated tools that scan source code, identify reused segments, and calculate resource savings without human intervention. The system serves itself by automatically detecting duplication, computing metrics, and generating reports, thereby achieving precise measurement while eliminating the time loss associated with manual tracking.
Solution Approach 2:
The patent substitutes manual tracking processes with automated computational systems that use algorithms to analyze source code and calculate resource savings. This mechanical substitution replaces time-consuming human efforts with efficient automated processing, maintaining measurement precision while dramatically reducing the time required for tracking and analysis.
3Measurement precision
If comprehensive code analysis is performed to quantify reuse impact, then measurement precision is improved, but system complexity and computational resources required increase
Solution Approach 1:
The patent applies segmentation by dividing the code analysis process into distinct modular components: code scanning modules that identify reused segments, calculation modules that compute resource savings, and reporting modules that present results. This segmentation reduces system complexity by organizing functions into independent, manageable units while maintaining comprehensive analysis capability for precise measurement.
Solution Approach 2:
The patent replaces complex manual analysis procedures with streamlined automated computational processes. By using efficient algorithms and data structures, the system performs comprehensive code analysis with reduced computational overhead, achieving high measurement precision without proportionally increasing system complexity or resource requirements.
Data Source
AI summary
Methods, computer-readable media, and systems for automated quantification of the impact of software code reuse are disclosed. A method performed by a processing system including at least one processor includes estimating an amount of a piece of source code that comprises reused code, estimating a resource cost associated with a development of the piece of source code, estimating an amount of resources saved by using the reused code in the piece of source code, based on the resource cost and the amount of the piece of source code that comprises the reused code, and initiating a modification to the piece of source code in response to the amount of resources saved.


