[KP/FP/GB] Graph Model Generation, Evolution and Visualization

For evaluating and benchmarking applications in model-driven software engineering, model generators are needed. In this project, we aim to develop an advanced graph model generator. The generator should not only generate graphs with highly configurable properties, but also evolve the graphs, simulate model evolution and tune the graph models with AI methodologies. The technology stack is developed in Kotlin with Spring-Boot. HTML/JS is used for the UI. Experiences with web development (Spring, Express or similar technologies) are beneficial. Familiarity with Kotlin is ideal. However, if very familiar with Java, learning Kotlin is quite easy. Knowledge about modeling and metamodeling is required (see our lectures ST2, MOST, DPF). Possible as KP (Komplexpraktikum Master), FP (Forschungspraktikum Master), GB (Großer Beleg)

Betreuer: Karl Kegel