Abstract
The impact of MDA (Model Driven Architecture) in the software industry has become significant. However, many researchers are interested in this area because it focuses on productivity and reliability and it makes the production of software more automatic, faster, and easy to maintain. In this article, we present a case study of an ATM (Automated Teller Machine) project and we propose a methodology following the MDA approach using artificial intelligence and adapting machine learning algorithms to generate software specifications and source code from an interpretation of stakeholder responses to a series of questions that will be intelligently proposed.
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