Evitalizing Fintech: Leveraging Refactoring Techniques to Enhance Legacy System Performance and Maintainability | ||||
| Journal of Engineering Advances and Technologies for Sustainable Applications | ||||
| Volume 1, Issue 3, July 2025, Page 68-76 PDF (363.09 K) | ||||
| Document Type: Original research paper | ||||
| DOI: 10.21608/jeatsa.2025.440941 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Mahmoud Raafat Elrashidy | ||||
| Department of Software Engineering, Faculty of Computer science, Modern sciences and arts University, Cairo, Egypt | ||||
| Abstract | ||||
| This paper explores the critical role of refactoring in modernizing legacy fintech systems, which often become obstacles to innovation and operational efficiency as they age. Legacy systems, while historically reliable, can accumulate technical debt, suffer from performance issues, and struggle with scalability in the face of evolving technology demands. The paper highlights how refactoring techniques such as modularization, dependency management, and performance optimization can transform outdated architectures. By breaking monolithic systems into modular components, modularization enables more manageable and flexible structures that support parallel development and easier system updates. Dependency management reduces the tight coupling between components, increasing flexibility and adaptability, while performance optimization addresses inefficiencies to improve transaction processing and overall system performance. Through an in-depth case study, the paper demonstrates the tangible benefits of refactoring, showcasing how these techniques can reduce technical debt, improve maintainability, and increase system scalability. Refactoring not only aligns legacy systems with modern fintech requirements but also facilitates integration with emerging technologies such as aAI, blockchain, and real-time processing. The paper concludes by emphasizing the need for automating refactoring processes to further streamline modernization efforts and proposes directions for future research, including the development of automated tools to assist in refactoring legacy fintech systems for greater efficiency and sustainability. | ||||
| Keywords | ||||
| Refactoring; Legacy Systems; Fintech; Technical Debt; Code Modularization; System Performance; Maintainability; Software Engineering; Dependency Management; Code Optimization | ||||
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