Concurrent Program Code Comparison for Resource Efficiency
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Solution Overview
Problem
Software developers face challenges in efficiently comparing and updating multiple versions of program code across different stages of the software development lifecycle, leading to errors and increased processor resource usage.
Innovation Solution
A system that concurrently compares multiple portions of code sets to identify differences, generating comparison information that highlights additions, deletions, and modifications, thereby reducing errors and conserving processor resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sequential comparison of code portions is used, then processing accuracy is maintained, but processing time and resource consumption increase
Solution Approach 1:
The code sets are divided into multiple portions that can be compared independently and concurrently. The system identifies corresponding portions between first and second code sets, allowing parallel processing of multiple comparison tasks simultaneously, thus improving productivity while managing processor resources efficiently.
Solution Approach 2:
Multiple code portion comparisons are merged into a single concurrent processing operation. The system combines the comparison of multiple first portions with their corresponding second portions in parallel, achieving faster overall comparison speed while optimizing processor resource utilization through coordinated parallel execution.
2Ease of operation
If manual code comparison is performed, then detailed analysis is possible, but user effort and time consumption increase
Solution Approach 1:
The system performs automated code comparison and independently generates comparison information identifying differences between code sets. This self-service capability eliminates the need for manual line-by-line analysis by developers, significantly reducing user effort and time consumption while maintaining accurate difference identification.
Solution Approach 2:
The system provides structured feedback by generating comparison information that highlights specific differences between code portions. This automated feedback mechanism presents differences in an easily interpretable format, reducing the time and effort required for developers to understand code changes without sacrificing analysis depth.
3Reliability
If comprehensive code comparison is performed, then all differences are identified, but processing complexity and resource usage increase
Solution Approach 1:
The comprehensive comparison task is segmented into smaller, manageable portions that are processed independently. By dividing the code sets into multiple first and second portions, the system maintains accurate difference identification across the entire code base while reducing the complexity of individual comparison operations and optimizing resource usage.
Solution Approach 2:
The system performs comparison on selected portions of code rather than treating the entire code base as a single unit. This partial action approach allows comprehensive coverage of all necessary code sections while managing processing complexity through modular, incremental comparison of discrete portions.
Data Source
AI summary
A device may include one or more processors. The device may obtain a first code set and a second code set. The first code set may have at least one difference from the second code set. The at least one difference may relate to addition, removal, or modification of code of the first code set in comparison to code of the second code set. The device may identify one or more first portions of the first code set and one or more second portions of the second code set. The device may concurrently compare the one or more first portions and the one or more corresponding second portions to identify the at least one difference. The device may generate comparison information identifying the at least one difference. The device may store or provide the comparison information.


