Single-Pass Code Analysis via Dependency Map Construction

The patent performs preliminary actions by collecting all variable declarations, reads, and modifications in a single forward pass through the code, storing them in data structures (declared_vars, read_vars, modified_vars) before subsequent analysis passes. This preliminary collection enables comprehensive code analysis in later passes without requiring multiple analysis traversals, thus reducing total analysis time while maintaining completeness.

The patent segments the code analysis process into distinct data structures for different variable categories (declared variables, read variables, modified variables, array references). By dividing the analysis into separate tracked categories rather than a monolithic analysis, the system achieves comprehensive coverage through organized segmentation that enables efficient single-pass collection and subsequent processing.

The patent applies local quality by creating specific, targeted data structures for different types of variable information: declared_vars for variable declarations, read_vars for variable reads, modified_vars for variable modifications, and array_refs for array references. Each data structure is optimized for its specific purpose rather than using a single complex structure, enabling detailed tracking with manageable local complexity for each variable category.

The patent introduces intermediary data structures (the four tracked collections) that serve as mediators between the source code and the final optimization decisions. These intermediaries organize and structure the raw code information in a way that simplifies subsequent analysis and optimization, reducing the complexity burden by creating structured intermediate representations rather than directly processing raw code.

The patent maintains continuity of useful action by performing continuous collection of variable information throughout the single-pass tree traversal. As the traversal visits each node, it continuously updates the four data structures with declarations, reads, and modifications. This continuous collection ensures no dependency information is lost despite the single-pass approach, as every relevant code element is captured during its first encounter in the traversal sequence.

The single-pass traversal performs preliminary action by collecting all variable dependency information in the first traversal before any optimization or analysis passes. By gathering complete information about declarations, reads, modifications, and array references during this initial pass, the system eliminates the need for re-traversals to capture dependency information, maintaining both speed and completeness.