Requirements Classification for Traceability Link Recovery

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 %.

Publication Details

Journal
Gesellschaft für Informatik (GI)
Published
2025-01-01
DOI
https://doi.org/10.18420/se2025-25
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
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article

Requirements Classification for Traceability Link Recovery

Gesellschaft für Informatik (GI)
Software Engineering Research
article

Requirements Classification for Traceability Link Recovery

article en

Abstract

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 %.

Gesellschaft für Informatik (GI)
Affordable and clean energy
Openalex Percentile: Top 46%
Software Engineering Research
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Requirements Classification for Traceability Link Recovery · Gesellschaft für Informatik (GI) (2025) | TGRS Research Map | TGRS