Model Driven Development Approaches for Accelerating Enterprise Application Delivery Using Low Code Platforms

Abstract

This article provides an in-depth examination of how model-driven development (MDD) enhances the velocity, consistency, and long-term sustainability of enterprise application delivery when embedded within modern low-code platforms. By positioning abstract models as the primary design artifact and using automated transformation engines to generate executable components, MDD significantly reduces manual coding overhead and mitigates errors associated with syntactic variability across distributed teams. The study evaluates MDD-enabled low-code architectures across large-scale enterprise systems, demonstrating measurable gains in delivery acceleration, cross-module maintainability, and architectural coherence. Furthermore, the integration of model-governed workflows improves integration reliability by synchronizing service interfaces, data mappings, and workflow logic directly with evolving domain models. The results highlight that MDD not only shortens development cycles but also strengthens organizational capacity to scale applications across multi-cloud ecosystems, API-driven environments, and rapidly evolving digital service layers. Ultimately, the findings position model-driven low-code engineering as a strategic, future-ready framework capable of supporting high-complexity enterprise transformations, reducing technical debt, and enabling continuous evolution in alignment with business demands.