Directory Checksum Analysis for Efficient Code Delta Detection
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Solution Overview
Problem
Current techniques for identifying similarities and deltas within code are slow and inefficient, particularly in large corpus hierarchies, as they often require checking each file under each node and creating a map of all files/areas of change, which is time-consuming and fails to leverage the benefits of rolling checksums effectively.
Innovation Solution
A code scanning tool that calculates directory level checksums and rolling checksums for both source and target data structures, comparing these to identify the location of changes at the directory and file level, allowing for efficient determination of deltas by focusing on areas of change rather than the entire structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current techniques check each file under each node and create a map of all files/areas of change, then completeness of change detection is improved, but processing time and efficiency deteriorate
Solution Approach 1:
The patent segments the codebase into hierarchical directories and calculates checksums at each directory level. Instead of checking every file individually, the system divides the large corpus into manageable directory segments, computing rolling checksums that can be compared efficiently. This segmentation allows the system to identify which directories contain changes without examining every file, thus maintaining completeness while reducing processing time.
Solution Approach 2:
The patent performs preliminary calculation of directory level checksums and rolling checksums before the actual change detection process. By pre-computing these checksums and storing them, the system avoids recalculating them during each comparison operation. This preliminary action enables rapid identification of changes when comparing target code against baseline code, significantly reducing the time required for change detection while maintaining accuracy.
2Measurement precision
If current techniques scan the entire code structure, then accuracy of change identification is improved, but productivity and speed deteriorate
Solution Approach 1:
The patent extracts only the essential information needed for change detection by calculating rolling checksums at directory levels. Instead of scanning and analyzing every file in the entire code structure, the system extracts checksum values that represent the state of each directory. This extraction approach maintains accuracy in identifying changes while dramatically improving speed by avoiding unnecessary examination of unchanged files and directories.
Solution Approach 2:
The patent changes the parameter being analyzed from individual file contents to directory-level rolling checksums. By transforming the problem from file-by-file analysis to directory-level checksum comparison, the system achieves the same change identification accuracy but at much higher speed. The rolling checksum parameter captures the essence of directory contents without requiring detailed inspection of each file.
3Reliability
If current techniques analyze large corpus hierarchies in detail, then reliability of security scanning is improved, but complexity of the analysis process deteriorates
Solution Approach 1:
The patent implements a nested hierarchical structure where checksums are calculated at multiple levels: individual files, directories, and parent directories. Each level contains checksums of the levels below it, creating a nested structure similar to nested dolls. This nesting allows the system to maintain reliable security scanning by checking specific areas of concern while avoiding the complexity of analyzing the entire hierarchy in detail. The nested checksum structure enables efficient identification of which nested levels contain changes.
Data Source
AI summary
Techniques to determine deltas of a target data structure against a source data structure. One technique includes obtaining directory level checksums and rolling checksums for a source set of code in a first data structure, obtaining directory level checksums and rolling checksums for a target set of code in a second data structure, comparing the directory level checksums and the rolling checksums obtained for the target set of code against the directory level checksums and the rolling checksums obtained for the source set of code, identifying a location of change data of the target set of code at directory level within the second data structure based on the comparison of the directory level checksums and the rolling checksums obtained for the target set of code against the directory level checksums and the rolling checksums obtained for the source set of code, and outputting the location of the change data.