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Hierarchical data structures for flowchart.

Peng Zhang1, Wenzhang Dou1, Huaping Liu2

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This study introduces novel hierarchical data structures for flowcharts, improving efficiency and reducing storage needs. These structures offer significant advantages over traditional graph-based methods in flowchart design and application.

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Area of Science:

  • Computer Science
  • Software Engineering
  • Data Structures

Background:

  • Flowcharts are widely used in software development, engineering, and scientific research.
  • Existing flowchart data structures (adjacency list, cross-linked list, adjacency matrix) are inefficient due to their general graph-based design, leading to suboptimal storage and traversal complexities.
  • Flowcharts possess inherent regularities and node relationships that are not fully exploited by current methods.

Purpose of the Study:

  • To propose two novel hierarchical data structures specifically designed for flowcharts.
  • To address the limitations of traditional graph data structures in terms of storage space, traversal efficiency, and handling of nested sub-charts.
  • To enhance the convenience and applicability of flowchart design tools.

Main Methods:

  • Developed two hierarchical data structures, organizing flowcharts into levels, layers, and numbered nodes.
  • Established systematic design rules for connecting nodes between layers.
  • Conducted experimental comparisons using flowchart examples against adjacency list and adjacency matrix structures.

Main Results:

  • The hierarchical table data structure reduced traversal time by 50% compared to adjacency lists, with similar storage requirements.
  • The hierarchical matrix data structure reduced traversal time by nearly 70% and storage space by approximately 50% compared to adjacency matrices.
  • The proposed structures effectively resolved issues with nesting between sub-charts.

Conclusions:

  • The proposed hierarchical data structures offer significant improvements in storage efficiency and traversal speed for flowcharts.
  • These structures provide a more optimized solution compared to traditional graph representations.
  • The novel approach has potential broad applications in flowchart-based software development, including low-code engineering for smart industrial manufacturing.