External-Identifier Correlation for Unified Open-Source Component Results
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Solution Overview
Problem
Conventional software composition analysis systems fail to correlate open-source component matching results from different scanning techniques, leading to duplicate and inconsistent entries that confuse users.
Innovation Solution
Implement Match as a Service (MaaS) to integrate multiple scanning techniques, using external identifiers to correlate results, disambiguate versions, and provide a unified set of accurate open-source component identifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple scanning techniques are used to identify open-source components, then the completeness of component identification is improved, but duplicate and inconsistent entries increase
Solution Approach 1:
The patent segments the component identification process into multiple independent scanning techniques (signature matching, package manager matching, binary matching, snippet matching), where each technique operates independently to identify components from different perspectives. This segmentation allows comprehensive coverage while enabling separate processing and correlation of results to eliminate duplicates.
Solution Approach 2:
The patent merges results from multiple scanning techniques through a correlation process that uses external identifiers to consolidate findings. The system combines the outputs of different scanning methods into a unified result set, eliminating duplicates and resolving inconsistencies by correlating matches across techniques using common identifier fields.
2Measurement precision
If multiple scanning techniques are used to identify open-source components, then the accuracy of component identification is improved, but the complexity of the system increases
Solution Approach 1:
The patent implements a universal correlation mechanism that handles results from multiple different scanning techniques through a common processing framework. The system uses external identifiers as a universal key to correlate and consolidate results across diverse scanning methods, managing complexity through a standardized multi-functional approach rather than separate handling for each technique.
Solution Approach 2:
The patent introduces external identifiers as an intermediary element that mediates between different scanning techniques and the final correlation process. These identifiers serve as a common language and reference point that allows results from disparate scanning methods to be correlated and merged, simplifying the integration of multiple techniques.
3Reliability
If multiple scanning techniques are used to identify open-source components, then the coverage of component detection is improved, but the processing time increases
Solution Approach 1:
The patent performs preliminary actions by executing multiple scanning techniques in parallel or pre-coordinating their execution. The system prepares and runs different scanning methods simultaneously on the target components, gathering results from all techniques before the correlation process begins, thereby reducing total processing time while maintaining comprehensive coverage.
Solution Approach 2:
The patent maintains continuity of useful action by orchestrating multiple scanning techniques to operate concurrently rather than sequentially. The system keeps all scanning processes active and running simultaneously, maximizing resource utilization and reducing overall processing time while ensuring all techniques contribute to the final comprehensive result.
Data Source
AI summary
A processing device receives a request to analyze the file hierarchy comprising the plurality of components and sends respective commands to a plurality of matching services. The processing device further receives respective individual results from the plurality of matching services, each of the respective individual results indicating a respective subset of the plurality of components, and correlates the respective individual results using external identifiers associated with the components of each respective subset to generate a unified set of results.


