Design and Implementation of a General Hierarchical Data Structure Component

Hierarchical data is ubiquitous in real life, and the loading and processing of hierarchical data constitute a significant aspect of information system development. To address this common challenge of handling hierarchical data across different projects, this paper conducts an in-depth analysis of the fundamental data structures of hierarchical data. It completes the data model design for a universal hierarchical data structure component and implements the component using database technologies and.NET programming techniques. The development of this universal hierarchical data structure component plays a crucial role in promoting software code reuse, shortening development cycles, reducing project costs, lowering maintenance complexity, and enhancing the robustness and flexibility of application systems.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/aemcse65292.2025.11042767
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
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article

Design and Implementation of a General Hierarchical Data Structure Component

Jiguang Liu, Bo Zhang, Zicheng Liu
Distributed and Parallel Computing Systems
article

Design and Implementation of a General Hierarchical Data Structure Component

Jiguang Liu, Bo Zhang, Zicheng Liu
article en

Abstract

Hierarchical data is ubiquitous in real life, and the loading and processing of hierarchical data constitute a significant aspect of information system development. To address this common challenge of handling hierarchical data across different projects, this paper conducts an in-depth analysis of the fundamental data structures of hierarchical data. It completes the data model design for a universal hierarchical data structure component and implements the component using database technologies and.NET programming techniques. The development of this universal hierarchical data structure component plays a crucial role in promoting software code reuse, shortening development cycles, reducing project costs, lowering maintenance complexity, and enhancing the robustness and flexibility of application systems.

Guizhou University of Finance and Economics (CN), Panzhihua University (CN)
Openalex Percentile: Top 84%
Distributed and Parallel Computing Systems
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