Codebase Behavioral Modeling With Bidirectional Tags for Runtime Debugging
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Solution Overview
Problem
Current software development and analysis tools fail to combine static and dynamic analysis techniques effectively, leading to the inability to identify production-level run-time complications, requiring separate tools and additional code editing environments, which wastes time and resources.
Innovation Solution
A system that generates a behavioral model of a codebase through hybrid static and dynamic analysis, inserting locational and codebase tags to facilitate bidirectional navigation between the model and code, allowing simultaneous identification and correction of run-time issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate static and dynamic analysis tools are used, then codebase analysis capability is improved, but tool complexity and time consumption increase
Solution Approach 1:
The patent combines static analysis and dynamic analysis capabilities into a single integrated code intelligence platform. The system merges multiple analysis engines (static analyzers, dynamic analyzers, runtime monitors) into one unified tool that can perform both types of analysis simultaneously, eliminating the need for separate tools while maintaining comprehensive codebase analysis capability.
Solution Approach 2:
The code intelligence platform is designed as a universal tool that performs multiple functions: static analysis, dynamic analysis, runtime monitoring, bug identification, and code editing. This multi-functional approach allows a single tool to replace multiple specialized tools, reducing overall system complexity while maintaining comprehensive analysis capabilities.
2Ease of operation
If separate code editing environment is opened, then code modification capability is improved, but time and resource efficiency deteriorate
Solution Approach 1:
The patent integrates code editing functionality directly into the code intelligence platform, merging the analysis tool and code editor into a single application. This allows developers to view analysis results and modify code within the same environment, eliminating the need to switch between separate tools and improving time efficiency.
Solution Approach 2:
The system uses bidirectional tags as an intermediary mechanism that connects the visual depiction interface with the code editor. These tags enable seamless navigation and context transfer between the analysis view and code editing view, allowing developers to efficiently locate and modify problematic code without losing context or switching environments.
3Reliability
If production-level run-time complications are identified later, then testing environment limitations are avoided, but time and resource costs increase
Solution Approach 1:
The system performs preliminary runtime analysis in the testing environment by deploying runtime monitors that collect execution data before production deployment. This preliminary action allows identification of potential run-time complications early, preventing costly post-deployment debugging and reducing overall time and resource costs.
Solution Approach 2:
The code intelligence platform implements feedback loops where runtime monitoring data is continuously analyzed and fed back to the development environment. This feedback mechanism enables real-time identification of run-time complications and allows developers to make immediate corrections, improving reliability while minimizing time losses through iterative refinement.
Data Source
AI summary
Systems, methods, and devices are provided to intelligently interrogate and tag a codebase. A behavioral model of the codebase is accessed that represents a run-time behavior of the codebase. The behavioral model and codebase are interrogated to identify locations for placing bidirectional tags within the behavioral model and the codebase. The bidirectional tags include links for connecting portions of the behavioral model to corresponding lines of code within the codebase. Selection of a bidirectional tag of the behavioral model causes focus of a user interface to change from a view of a visual depiction of the behavioral model to a view of a corresponding tag in the codebase. Selection of a bidirectional tag of the codebase causes focus of the user interface to change from a view of the codebase to a view of a corresponding tag in the visual depiction of the behavioral model.