Legacy Core Modernization via Strangler-Fig with Micro Frontends: Risk-Reduced Migration Patterns: A Case Study with Defect/Incident Deltas
DOI:
https://doi.org/10.22399/ijcesen.4965Keywords:
Strangler-Fig Pattern, Micro Frontends, Legacy Modernization, Anti-Corruption Layer, Incremental MigrationAbstract
Legacy core systems present significant challenges to enterprise organizations through operational inefficiencies, limited scalability, and constraints on digital innovation. Traditional big-bang replacement strategies carry substantial risks including extended timelines, high failure rates, and business disruption. Incremental modernization patterns offer viable alternatives by enabling gradual transformation while maintaining operational continuity. The strangler-fig pattern facilitates backend evolution through progressive routing of requests from legacy components to modern services. Micro frontend architectures complement this by decomposing monolithic user interfaces into independently deployable modules aligned with business domains. Anti-corruption layers prevent architectural degradation by translating between legacy and modern system semantics. Together, these patterns enable controlled technical debt management, fault isolation, and continuous value delivery. Organizations adopting these incremental strategies experience reduced deployment risks, improved system performance, enhanced team autonomy, and better incident containment. The architectural decomposition supports parallel development streams, accelerates delivery cycles, and maintains production stability throughout transformation initiatives. This evolutionary modernization framework provides enterprises with practical pathways to replace decades-old systems while preserving business continuity and institutional knowledge.
References
[1] Declan Good, "Legacy Transformation," in Technology Research Club, 2022. [Online]. Available: https://semanticdesigns.com/Company/Publications/Legacy%20Transformation.pdf
[2] Gatner, "Enterprise Resource Planning to Optimize Operations," Information Technology, 2020. [Online]. Available: https://www.gartner.com/en/information-technology/topics/enterprise-resource-planning
[3] Richard Gross, “Strangler Fig Pattern,” Maibornwolff [Online]. Available: https://www.maibornwolff.de/en/know-how/strangler-pattern/
[4] Severi Peltonen, et al., “Motivations, benefits, and issues for adopting Micro-Frontends: A Multivocal Literature Review”, in Science Direct, Information and Software Technology, Volume 136, 2021. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0950584921000549
[5] Microsoft Learn, “Anti-Corruption Layer Pattern”, Architecture Center. Available: https://learn.microsoft.com/en-us/azure/architecture/patterns/anti-corruption-layer
[6] Ashwin Ramachandran, “Legacy System Modernization: How to Reduce Risk and Unlock Value”, in Precisely, Data Integration. 2025. Available at: https://www.precisely.com/data-integration/legacy-system-modernization-how-to-reduce-risk-and-unlock-value/
[7] Anas Tawileh, et al., “Strategically de-risking legacy modernization to secure the business and drive efficiency,” CGI. [Online]. Available: https://www.cgi.com/en/alliances/AWS/strategically-derisk-legacy-modernization-secure-the-business
[8] Iternforge, “Microfrontend Architecture: Evolving Frontend Strategies to Unlock Scalability, Velocity, and Performance” [Online]. Available: https://iterforge.com/microfrontend-architecture-evolving-frontend-strategies-to-unlock-scalability-velocity-and-performance/
[9] Abhishek Pareek, “Future-Ready Frontends: Building Scalable Enterprise Applications with Micro Frontend Architecture”, Developer.Dev, 2026. [Online]. Available: https://www.developers.dev/tech-talk/future-ready-frontends-building-applications-with-micro-frontends.html
[10] Erez Eizenman, et al., “Need micro frontend benefits at scale? Reimagine the operating model”, in MCKinsey & Company, 2026. [Online]. Available: https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/tech-forward/need-micro-frontend-benefits-at-scale-reimagine-the-operating-model?utm_source=chatgpt.com
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 International Journal of Computational and Experimental Science and Engineering

This work is licensed under a Creative Commons Attribution 4.0 International License.