AI - What could it do for existing software systems ("Brownfield") and their further development?

AI for testing to generate test code or AI for coding (see Copilot) to suggest good code examples; that 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 software restructuring, check its feasibility and costs and which data can be used for this and how. We also provide an outlook on what support for the development of new features could look like. In other words, what other acute challenges in relation to knowledge management could possibly be tackled.

Nutzen für den Teilnehmer:
Participants will learn about a practical AI-based approach to transforming brownfield systems.
Participants will learn more about AI in software engineering and its potential.

Behandelte Problemstellungen:
Transformation of “brownfield” software systems

Knowledge management in software engineering

Applicability of AI for the above problems

Vortragssprache: Englisch
Level: Fortgeschrittene
Zielgruppe: Architects, developers, product owners, quality assurance, project managers, IT managers

Unternehmen:
Cape of Good Code GmbH

Egon Wuchner

Enes Oguzhan Alatas