3 papers
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.SE2026
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…
cs.SE2025
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…