Logo des Repositoriums
 
Textdokument

Requirements Classification for Traceability Link Recovery

Lade...
Vorschaubild

Volltext URI

Dokumententyp

Zusatzinformation

Datum

2025

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik, Bonn

Zusammenfassung

The paper assesses the potential of requirements classification approaches to identify parts of requirements that are irrelevant for automated traceability link recovery between requirements and code. We were able to show that automatic identification of parts of requirements that do not describe functional aspects can significantly improve the recovery performance and that the parts can be identified with an F1-score of 84 %.

Beschreibung

Hey, Tobias; Keim, Jan; Corallo, Sophie (2025): Requirements Classification for Traceability Link Recovery. Software Engineering 2025. DOI: 10.18420/se2025-25. Gesellschaft für Informatik, Bonn. ISSN: 2944-7682. EISSN: 2944-7682

Zitierform

Tags