Artifact Information Fragment Comparison and Merging
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Solution Overview
Problem
Current product lifecycle management (PLM) and application lifecycle management (ALM) systems face challenges in efficiently managing and merging large, comprehensive artifact information across multiple documents, which can be time-consuming and resource-intensive, often requiring significant computation and memory resources.
Innovation Solution
A computer-implemented method and system for managing artifact information by determining similarity values between fragments, identifying best-match pairs, and allowing users to select merge actions through a user interface, thereby facilitating efficient merging of artifact information without full comparison of large documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full comparison of large artifact documents is performed, then merging accuracy is improved, but computation time and memory resources increase significantly
Solution Approach 1:
The patent divides large artifact documents into smaller fragments or chunks, comparing only relevant segments rather than performing full document comparison. This segmentation approach maintains merging accuracy for relevant portions while dramatically reducing computation time and memory requirements by avoiding unnecessary comparisons of entire large documents.
Solution Approach 2:
The patent implements partial comparison by identifying and comparing only the necessary portions of artifact documents that are relevant to the merging operation. Instead of performing excessive full-document comparisons, the system selectively processes specific fragments, achieving sufficient merging accuracy with reduced computational effort.
2Measurement precision
If full comparison of large artifact documents is performed, then merging accuracy is improved, but memory resources increase significantly
Solution Approach 1:
The patent segments large artifact documents into smaller manageable fragments that can be processed and stored in memory efficiently. By working with divided segments rather than loading entire large documents into memory, the system maintains the ability to perform accurate comparisons on relevant portions while keeping memory resource consumption within acceptable limits.
Solution Approach 2:
The patent extracts and compares only the relevant fragments or portions of artifact documents that are necessary for the merging operation. This extraction approach eliminates the need to load and process irrelevant portions of large documents, thereby reducing memory resource requirements while preserving merging accuracy for the essential content.
3Loss of information
If comprehensive artifact information is managed across multiple documents, then information completeness is improved, but system complexity increases
Solution Approach 1:
The patent merges artifact information from multiple documents into a unified structure, maintaining information completeness by integrating content across sources. The merging process consolidates fragmented information while preserving the comprehensive nature of the artifact data, reducing the complexity of managing multiple separate documents.
Solution Approach 2:
The patent implements a universal artifact information management system that can handle multiple document types and formats through a single integrated interface. This multi-functional approach allows comprehensive information management across diverse artifact sources without requiring separate complex systems for each document type, thereby reducing overall system complexity.
Data Source
AI summary
Systems and methods for improved management of artifact information of at least one first artifact document comprising a plurality of first fragments of artifact information and of at least one second artifact document comprising a plurality of second fragments of artifact information, especially comprising comparing and merging artifact information.