Article Details

Title · Authors · Abstract · Keywords · DOI · References

Development of Prosecution Business Data Application System Based on SSM Framework

ZHAO Jingjing

(Artificial Intelligence College, Zhejiang Industry and Trade Vocational College, Wenzhou 325003, China)

Section:Information Technology · Vol. 2025, Issue 2 · Pages:52-57 · 2096-4706(2025)02-0052-06 · CLC number:TP311 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2025.02.009

Abstract

In response to issues such as insufficient data source integration and delayed data retrieval efficiency, a prosecutorial business data application system is designed and implemented. The system is led by digital reform, connected to an integrated intelligent public data platform, based on the SSM framework and implemented using popular front-end and back-end separation technology. It has functions such as data configuration, data retrieval, and system management, providing reliable data visualization management for the procuratorate and quickly and accurately obtaining relevant information of the cases. After testing, the system runs stably, responds quickly to data retrieval, takes less than 1 second, and has a good user experience. By aggregating administrative law enforcement data and other public data, the barriers to the circulation of digital resources have been broken down, reducing the difficulty of cross departmental work coordination and improving the efficiency of the procuratorate's handling of cases.

Keywords

digital reform; data retrieval; SSM framework; application system

References

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Funding

2022 Domestic Visiting Engineer "School Enterprise Cooperation Project" (FG2022267)

About the authors

Zhao Jingjing (1985-), female, Han ethnicity, native of Jiaozuo, Henan Province, lecturer, master's degree, research direction: software technology.