How AI can Advance Model Driven Engineering Method ?

Artificial intelligence (AI) skills are being increasingly applied in today’s field of computer science. This aims at better satisfying customer requirements, reducing errors, improving decision-making, tackling complex problems, system automation, increasing operational efficiencies, etc. To do so, AI implies several sub-fields such as Machine Learning (ML), Deep Learning (DL), Neural Networks (NN), Natural Language Processing (NLP), Robotics, etc. Applications of AI are innumerable, including healthcare and biomedicine, bio-informatics, physics, robotics, geo-sciences and more. Our current paper studies AI applications for modeling IoT systems using Model Driven Engineering (MDE) method. We survey the most significant research work related to our topic and investigate how AI techniques could be used to better resolve software engineering issues. In the context of the current paper, we particularly focus on healthcare systems as an illustrative specific domain.