Overlapping Techniques for Traceability Link Recovery
| Vortragende(r) | Julian Epple | |
|---|---|---|
| Vortragstyp | Bachelorarbeit | |
| Betreuer(in) | Jan Keim | |
| Termin | Fr 13. Februar 2026, 12:40 (Raum 010 (Gebäude 50.34)) | |
| Vortragssprache | Deutsch | |
| Vortragsmodus | in Präsenz | |
| Kurzfassung | While many Traceability Link Recovery approaches have been proposed, they often struggle with inconsistent performance or practical limitations, including the need for training data in machine-learning-based methods. This thesis investigates a new automated TLR approach that combines multiple existing techniques to leverage their strengths and reduce individual weaknesses. Two combination strategies are explored and empirically evaluated. | |