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.