Investigating the Effectiveness of Model-Driven Development in Reducing Software Complexity and Cost

Elizabeth Anderson Clark

Investigating the Effectiveness of Model-Driven Development in Reducing Software Complexity and Cost

Authors

Elizabeth Anderson Clark

Cost Optimization Analyst (Software Projects), United States.

Keywords:

Model-Driven Development, Software Complexity, Cost Reduction, Software Engineering, MDD Tools, Abstraction

Synopsis

Model-Driven Development (MDD) has emerged as a transformative approach in software engineering, promoting abstraction and automation to manage growing system complexity and development costs. This paper investigates the effectiveness of MDD in reducing software complexity and cost by analyzing contemporary implementations and evaluating reported benefits and challenges. Through a structured literature review and comparative analysis, we examine how MDD tools and practices contribute to software quality, maintainability, and cost-efficiency. The study further identifies the limitations of MDD and provides recommendations for optimizing its adoption across varied development contexts.

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