collaborators

5 papers

cs.SE2026

CAS2UML: A Handwritten Sketch-to-PlantUML Dataset for Class and Activity Diagrams

Simon Scholz, Mersedeh Sadeghi

Automated UML generation from sketches and images is gaining renewed attention with the rise of large language models and multimodal AI. However, reproducible evaluation remains di…

cs.SE2026

A Formalism-Aware Reward Loop for Handwritten UML-to-PlantUML Generation

Mersedeh Sadeghi, Simon Scholz, Adrian Psoch-Bajraktari

Handwritten UML sketches are common in early software design, but turning them into structured, analysable modelling artefacts still requires manual reconstruction. Vision-language…

cs.HC2026

V-SHiNE: A Virtual Smart Home Framework for Explainability Evaluation

Mersedeh Sadeghi, Simon Scholz, Max Unterbusch +1

Explanations are essential for helping users interpret and trust autonomous smart-home decisions, yet evaluating their quality and impact remains methodologically difficult in this…

cs.SE2026

From Issues to Insights: RAG-based Explanation Generation from Software Engineering Artifacts

Daniel Pöttgen, Mersedeh Sadeghi, Max Unterbusch +1

The increasing complexity of modern software systems has made understanding their behavior increasingly challenging, driving the need for explainability to improve transparency and…

cs.AI2025

From Facts to Foils: Designing and Evaluating Counterfactual Explanations for Smart Environments

Anna Trapp, Mersedeh Sadeghi, Andreas Vogelsang

Explainability is increasingly seen as an essential feature of rule-based smart environments. While counterfactual explanations, which describe what could have been done differentl…