Critical Overview of Model Driven Engineering
摘要
Model-driven engineering (MDE) is gaining favor as a method for creating complex software systems that is both effective and efficient. MDE places a strong focus on using models to represent the various facets of a software system. These models serve as the foundation for creating executable code. Even though MDE has proved effective in some situations, there are still difficulties with the method, such as the difficulty of modeling specific system components and the expense of maintaining the models as a project grows. In this article, we provide a critical analysis of MDE and discuss how it may develop in the future in terms of several concepts. We first consider the drawbacks of conventional MDE methods before looking at alternative remedies that could improve model precision and automate some components of the paradigm. The analysis that was done briefly demonstrates the possible advantages of incorporating AI techniques in order to enhance the MDE process.