Evaluating the Impact of Agile Scaling Frameworks on Productivity and Quality in Large-Scale Fintech Software Development
DOI:
https://doi.org/10.38124/ijsrmt.v3i6.449Keywords:
Agile Scaling Frameworks, Productivity, Quality, Fintech Software Development, Large-Scale Software EngineeringAbstract
This review paper examines the influence of agile scaling frameworks on productivity and quality in large-scale fintech software development. As fintech continues to evolve, the need for rapid, scalable, and high-quality software delivery has become critical. Agile methodologies, originally designed for small, cross-functional teams, have been adapted and scaled to meet the challenges of larger, more complex organizations. This review focuses on frameworks such as SAFe (Scaled Agile Framework), LeSS (Large Scale Scrum), and Spotify model, evaluating their effectiveness in driving performance improvements, enhancing collaboration, and maintaining software quality at scale. The paper investigates how these frameworks address challenges specific to fintech, including regulatory compliance, security, and the need for rapid iterations in highly competitive markets. By analyzing empirical studies, case studies, and industry reports, this review assesses the impact of agile scaling on key performance indicators such as cycle time, product delivery speed, defect rates, and team morale. Furthermore, it explores the trade-offs between scalability and flexibility, examining how these frameworks support the alignment of business and IT objectives. The findings of this review aim to provide insights for organizations looking to implement agile frameworks in large-scale fintech environments, offering recommendations for optimizing both productivity and software quality in fast-paced, high-stakes industries.
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Copyright (c) 2024 International Journal of Scientific Research and Modern Technology

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