AI for testing to generate test code or AI for coding (see Copilot) to suggest good code examples; this is almost "state-of-the-art". But isn't something missing? Aren't we largely dealing with brownfield software that needs to be transformed in order to be cloud-ready and scalable? Couldn't AI help here too?

In the presentation, we will look at what AI-based methods could do to simulate architecture restructuring (based on data that goes beyond code to evaluate feature/temporal coupling, Conway’s law or a mix of all), check their feasibility and efforts. We also provide an outlook on what support AI could provide with respect to architecture quality analysis. Finally, we will talk about challenges in relation to knowledge management in projects and how to get assistance based on AI.

Target Audience: Project Leaders, Architects, Key Developers, Managers, Decision Makers
Prerequisites: Architecture Knowledge
Level: Advanced