Declarative Visual Programming Code Search for Graph Patterns

The patent introduces an intermediary system that translates visual programming language diagrams into structured representations (such as abstract syntax trees or graph models) that can be automatically analyzed for code patterns. This intermediary layer enables pattern detection without requiring developers to manually interpret complex visual structures, thus maintaining detection accuracy while reducing skill requirements.

The patent replaces the mechanical manual search process with automated computational methods. Instead of developers visually scanning and interpreting code diagrams, the system uses algorithms to automatically detect patterns, transform visual representations into analyzable formats, and identify inefficient or insecure code patterns, thereby eliminating the need for specialized coding fluency.

The patent adds a new dimension of visualization by mapping detected code patterns back onto the original visual programming language diagram. Instead of merely listing matches in text form, the system highlights matching code instances directly on the visual canvas, preserving spatial relationships and enabling intuitive understanding of where patterns occur within the overall program structure.

The patent employs color-coding and visual highlighting techniques to distinguish matching code instances from non-matching portions. Different colors or visual styles indicate different types of patterns or severity levels, making it easy for developers to quickly identify and understand detected patterns without having to manually search through code.

The patent divides the complex task of analyzing entire visual programming language repositories into smaller, manageable segments. The system processes code repositories in chunks or modules, analyzes individual diagrams or subgraphs separately, and then aggregates results. This segmentation reduces memory requirements and computational complexity while maintaining comprehensive pattern detection across the entire repository.

The patent transforms the visual programming language code into different parameter representations suitable for analysis, such as converting graphical elements into graph theory parameters (nodes, edges, connectivity) or abstract syntax tree structures. This parameter transformation simplifies the analysis process by converting complex visual structures into standardized formats that can be efficiently searched and compared against known patterns.