4 papers · 1 filter
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…
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…