Integrated Static Dynamic Software Analysis Tool
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Solution Overview
Problem
Current software analysis tools require developers to perform separate static and dynamic analyses, which can be time-consuming and inefficient, as they lack integration of runtime behavior data to enhance analysis results.
Innovation Solution
A software analysis tool that seamlessly integrates static and dynamic analysis by collecting and leveraging runtime data to refine static analysis results, eliminating the need for separate analyses and providing augmented debugging processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate static and dynamic analyses are performed independently, then analysis coverage is comprehensive, but analysis time and developer effort increase significantly
Solution Approach 1:
The patent combines static analysis and dynamic analysis into a single integrated software analysis tool. The system merges the code inspection capabilities of static analysis with the runtime behavior detection of dynamic analysis, allowing both analysis types to be performed simultaneously through a unified interface rather than as separate independent processes.
Solution Approach 2:
The software analysis tool is designed to perform multiple functions within a single system. It can execute static analysis, dynamic analysis, or both together, providing a multi-functional platform that eliminates the need for developers to separately configure and run distinct analysis tools for different analysis types.
2Productivity
If static analysis is performed without runtime data, then analysis can be done without executing code, but analysis results lack precision and meaningful context
Solution Approach 1:
The system implements feedback by using runtime data collected during dynamic analysis to inform and refine static analysis results. The dynamic execution data provides feedback about actual program behavior, which is then used to adjust and improve the accuracy of static analysis findings, creating a iterative refinement process.
Solution Approach 2:
The system performs preliminary dynamic analysis to collect runtime behavior data before conducting the full static analysis. This preliminary action of gathering execution information upfront allows the subsequent static analysis to be more precise and targeted, as it can leverage the previously collected runtime context.
3Loss of information
If dynamic analysis is performed to gather runtime information, then timing and memory allocation data are obtained, but the analysis requires code execution which increases complexity
Solution Approach 1:
The patent merges the functionality of separate static and dynamic analysis tools into a single integrated system. By combining these analysis approaches in one tool, the system reduces overall complexity despite the sophisticated capabilities it provides, as developers only need to manage one tool rather than coordinating multiple separate tools.
Data Source
AI summary
Static and dynamic code analyses are seamlessly, iteratively performed. A software analysis tool integrates the results of dynamic and static analysis and iteratively utilizes results from a previous analysis, or analyses, to augment a current analysis. During a debugging process, information collected at runtime is integrated with static code analysis results. This information is generated and stored as part of the results of the testing and debugging processes. The stored information is subsequently utilized to provide improved analysis results. The software analysis tool eliminates the need for software developers to separately perform static analysis and dynamic analysis.


