Model-Driven Software Engineering with Low-Code and Generative AI for Enterprise-Grade Applications
Keywords:
Model-Driven Software Engineering, low-code, generative AI, large language models, enterprise applications, auto-code generation, DevSecOpsAbstract
MDSE, low-code platforms, and generative AI are all changing the way enterprises create software. It examines at how model-driven abstractions and LLMs' adaptive intelligence may make it faster to design, write, test, and deploy programs. A research concluded that AI-assisted modeling tools and low-code environments help firms be more productive, keep their design consistent, and follow the norms for corporate governance. You can automatically build code that is safe, scalable, and simple to maintain by using semantic model interpretation and AI-guided pattern discovery. Companies that have to follow rules should make sure that ERP-CRM connection, data integrity, and DevSecOps automation are at the top of their list of things to do. Theories, frameworks, and data are used in model-driven intelligent, AI-augmented commercial application development pipelines.
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