Application of Network Security Vulnerability Detection and Repair Process Optimization in Software Development

Shuang Yuan

European Journal of AI, Computing & Informatics, 2025, vol. 1, issue 3, 93-101

Abstract: Ensuring system safety and maintaining high-quality software development critically depend on the timely identification and rapid remediation of network security vulnerabilities. In this study, an efficient operating framework is established based on the optimization of the vulnerability management process. From the dual perspectives of vulnerability detection and repair, a comprehensive process improvement is implemented, forming a technical framework that integrates both detection and repair optimization modules. This framework emphasizes security robustness while offering flexible scalability, enabling it to adapt to varying software environments and evolving threat landscapes. During the software development lifecycle, the framework leverages the coordinated application of multiple tools, including automated repair technologies, intelligent detection mechanisms, and cross-department collaboration strategies. Such integration significantly enhances both the efficiency and accuracy of handling security vulnerabilities. Furthermore, the proposed approach supports continuous monitoring and iterative refinement, ensuring that potential security risks are proactively addressed, and that the overall reliability and stability of software systems are improved. By systematically combining detection, repair, and collaborative optimization, the framework provides a practical and scalable solution for strengthening software security and supporting sustainable software development.

Keywords: network security; vulnerability detection; bug repair; repair process; software development (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://pinnaclepubs.com/index.php/EJACI/article/view/360/363 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dba:ejacia:v:1:y:2025:i:3:p:93-101

Access Statistics for this article

More articles in European Journal of AI, Computing & Informatics from Pinnacle Academic Press
Bibliographic data for series maintained by Joseph Clark ().