Program Analysis Engine Using Manifest Descriptors
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Solution Overview
Problem
Current computing runtime environments face challenges in performing comprehensive analysis of programs authored in multiple languages and distributed across various data formats, especially those relying on dynamic code execution, as they struggle to understand application components, dependencies, and runtime behaviors effectively.
Innovation Solution
A program analysis engine is developed that includes a program acquisition component to obtain programs described in a manifest, initiating a multi-pass analysis of application content based on descriptive information, supporting multiple languages and data formats, and providing results through a results component.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive analysis of distributed programs in multiple languages is performed, then understanding of application components and dependencies is improved, but analysis complexity and resource requirements increase
Solution Approach 1:
The patent introduces manifest files as intermediary descriptors that bridge the gap between diverse program components and the analysis system. These manifests provide standardized metadata about application components, dependencies, and runtime behaviors, allowing the analysis engine to understand complex distributed programs without directly parsing every language and format, thus reducing analysis system complexity while maintaining measurement precision
Solution Approach 2:
The analysis system is segmented into specialized components: a program acquisition component for obtaining manifests, a program analysis component for processing, and a results component for output. This segmentation allows each component to handle specific tasks efficiently, managing the overall complexity of analyzing multi-language distributed programs
2Measurement precision
If multi-pass analysis of application content is initiated, then analysis thoroughness is improved, but analysis time increases
Solution Approach 1:
The system performs preliminary actions by first acquiring and parsing manifest files to obtain application descriptive information before conducting the actual analysis. This preliminary step organizes the analysis targets and dependencies, enabling subsequent multi-pass analysis to be more efficient and focused, reducing overall analysis time while maintaining thoroughness
Solution Approach 2:
The patent implements multi-pass analysis as periodic action sequences, where different analysis passes are executed in sequence on the organized application content. This structured periodic approach ensures thorough analysis coverage while managing time consumption through systematic progression through multiple analysis stages
Data Source
AI summary
A deployment package descriptor may be obtained. One or more application files that include application content in a plurality of different data formats may be obtained. An analysis of the application content included in the obtained one or more application files may be initiated, based on a plurality of different data formats and descriptive information associated with the obtained application files, the descriptive information included in the obtained deployment package descriptor.