1 citations · 1 across the 7 of their papers we have counts for
7 papers
On the Viability of Requirements Generation From Code: An Experience Report
Alexander Korn, Jone Bartel, Max Unterbusch +1
Empirical research in Requirements Engineering is hampered by a lack of adequate datasets that pair source code with corresponding requirements. A tempting route to addressing this…
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…
Context-Adaptive Requirements Defect Prediction through Human-LLM Collaboration
Max Unterbusch, Andreas Vogelsang
Automated requirements assessment traditionally relies on universal patterns as proxies for defectiveness, implemented through rule-based heuristics or machine learning classifiers…
Description and Comparative Analysis of QuRE: A New Industrial Requirements Quality Dataset
Henning Femmer, Frank Houdek, Max Unterbusch +1
Requirements quality is central to successful software and systems engineering. Empirical research on quality defects in natural language requirements relies heavily on datasets, i…
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…
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…