4 citations · 6 across the 9 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
SmartEx: A Framework for Generating User-Centric Explanations in Smart Environments
Mersedeh Sadeghi, Lars Herbold, Max Unterbusch +1
Explainability is crucial for complex systems like pervasive smart environments, as they collect and analyze data from various sensors, follow multiple rules, and control different…
Generating Context-Aware Contrastive Explanations in Rule-based Systems
Lars Herbold, Mersedeh Sadeghi, Andreas Vogelsang
Human explanations are often contrastive, meaning that they do not answer the indeterminate "Why?" question, but instead "Why P, rather than Q?". Automatically generating contrasti…
Explanation Needs in App Reviews: Taxonomy and Automated Detection
Max Unterbusch, Mersedeh Sadeghi, Jannik Fischbach +2
Explainability, i.e. the ability of a system to explain its behavior to users, has become an important quality of software-intensive systems. Recent work has focused on methods for…
SPRINT: Semantics for PerfoRmant and scalable INteroperability of multimodal Transport
Mersedeh Sadeghi, Petr Buchniček, Alessio Carenini +4
Interoperability is a long-standing challenge slowing down the digitalization of mobility systems and the provision of full mobility-as-a-service offerings. This paper presents ear…
Cases for Explainable Software Systems:Characteristics and Examples
Mersedeh Sadeghi, Verena Klös, Andreas Vogelsang
The need for systems to explain behavior to users has become more evident with the rise of complex technology like machine learning or self-adaptation. In general, the need for an…