Graphical Dependency Analysis for Software Change Lists
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Solution Overview
Problem
Current software configuration management systems face inefficiencies in managing complex interdependencies between software components, leading to manual and time-consuming data review processes, especially in large projects, due to the flat presentation of change lists and lack of graphical representation of dependencies.
Innovation Solution
A system and process that retrieves and traverses change lists to generate a graphical representation of their dependencies, using a file storage system, change list analysis module, and graphics module to display hierarchies and dependencies, facilitating easier identification of inconsistencies and blocking change lists.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of change list data is performed to determine dependencies and inconsistencies, then accuracy of dependency analysis is maintained, but time consumption increases significantly
Solution Approach 1:
The patent replaces manual mechanical review processes with automated computer-based analysis. The system automatically traverses change lists, determines dependencies between software components, and generates graphical representations without human intervention, thereby maintaining accuracy while dramatically reducing time consumption.
Solution Approach 2:
The patent introduces an intermediary graphical representation layer between the raw change list data and the analyst. This visual interface acts as a mediator that presents dependency information in an easily interpretable format, reducing the cognitive load and time required for analysis while maintaining precision through systematic automated data processing.
2Device complexity
If flat table format is used to present change list data, then data storage and retrieval are simple, but data interpretability and analysis efficiency deteriorate
Solution Approach 1:
The patent transforms the flat two-dimensional table format into a multi-dimensional graphical representation that visually encodes dependency relationships. By adding spatial dimensions (hierarchical layout, connecting lines, visual groupings), the system maintains the simplicity of data storage while dramatically improving interpretability and analysis efficiency.
Solution Approach 2:
The patent employs visual attributes such as color coding, shading, and graphical markers to represent different types of dependencies, change list statuses, and relationship strengths. These visual variations enable rapid comprehension of complex data relationships without increasing underlying data structure complexity.
3Reliability
If comprehensive dependency tracking is implemented for all change lists, then completeness of dependency information is improved, but system complexity and processing overhead increase
Solution Approach 1:
The patent segments the comprehensive dependency tracking system into modular components: change list retrieval modules, dependency analysis modules, and graphical representation modules. Each component handles specific aspects of the process independently, reducing overall system complexity while maintaining complete dependency tracking through coordinated operation of these segmented functional units.
Data Source
AI summary
Embodiments of the invention include a system for analyzing and displaying dependencies of change lists tracked by a software configuration management system. The process may include retrieving a set of change lists and traversing each change list to determine dependencies between change lists. The process may generate a graphical representation of a hierarchy of the set of change lists defined by the dependencies. The system may include a file storage system to store a plurality of change lists and a change list analysis module to traverse the plurality of change lists to determine dependencies between the change lists. A graphics module may display change lists and dependencies received from the change list analysis module.