Software Service Analysis Tool for Dependency Detection
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Solution Overview
Problem
Complex service-oriented software systems face challenges in diagnosing inconsistencies, bugs, and performance bottlenecks due to emergent properties that are difficult to isolate, especially as systems become more intricate.
Innovation Solution
A method for analyzing software systems using a service registry to identify dependencies and service composition by finding components, services, and operations, applying a fitness algorithm to determine relationships and composition, and displaying human-readable outputs on a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If service-oriented software systems are made more complex to express more capabilities and dependencies, then the functionality and versatility of the system improve, but the difficulty of diagnosing inconsistencies, bugs, and performance bottlenecks increases
Solution Approach 1:
The patent introduces an analysis tool as an intermediary system that mediates between the complex service-oriented software system and the users/diagnosticians. This tool automatically analyzes the service registry, discovers services, determines dependencies, and presents findings in a comprehensible format, thereby reducing the difficulty of diagnosing issues in complex systems without limiting system functionality
2Device complexity
If the service registry is analyzed manually to determine relationships between components and services, then the complexity of the analysis tool is reduced, but the time and effort required for analysis increases substantially
Solution Approach 1:
The analysis tool performs self-service by automatically discovering services in the service registry, determining their dependencies, and analyzing relationships without requiring manual intervention. The system exercises services automatically, applies fitness algorithms, and generates reports autonomously, significantly reducing analysis time while maintaining manageable tool complexity through automation
3Measurement precision
If fitness algorithms are applied to determine service composition automatically, then the precision of service relationship analysis improves, but the computational resources and processing time required increase
Solution Approach 1:
The patent applies fitness algorithms selectively to determine service composition and relationships rather than analyzing every possible service interaction in the system. By focusing computational resources on critical path services and those with higher impact on system behavior, the tool achieves high precision in relationship analysis while consuming manageable computational resources
Data Source
AI summary
Systems and methods of inspecting the structure of a software system composed of a service solution provider having service components that includes analyzing the relationships between services and components, applying a fitness algorithm to ascertain characteristics of the system and its components and creating a human readable representation of the software system or software service provider.