Taxonomic Trace Links Recommender: Context Aware Hierarchical Classification
2023 (English)In: CEUR Workshop Proceedings / [ed] Ferrari A., Penzenstadler B., Penzenstadler B., Hadar I., Oyedeji S., Abualhaija S., Vogelsang A., Deshpande G., Rachmann A., Gulden J., Wohlgemuth A., Hess A., Fricker S., Guizzardi R., Horkoff J., Perini A., Susi A., Karras O., Dalpiaz F., Moreira A., Amyot D., Spoletini P., CEUR-WS , 2023, Vol. 3378Conference paper, Published paper (Refereed)
Abstract [en]
In the taxonomic trace links concept, the source and target artifacts are connected through knowledge organization structure (e.g., taxonomy). We introduce in this paper a recommender system that recommends labels to requirements artifacts from domain-specific taxonomy to establish taxonomic trace links. The tool exploits the hierarchical nature of taxonomies and uses requirements text and context information as input to the recommender. © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
Place, publisher, year, edition, pages
CEUR-WS , 2023. Vol. 3378
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 3378
Keywords [en]
Hierarchical classification, Recommender system, Requirements traceability, Taxonomy, Knowledge organization, Recommender systems, Requirements engineering, Context information, Context-Aware, Domain specific, Organization structures, Text information, Taxonomies
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-24623Scopus ID: 2-s2.0-85158974761OAI: oai:DiVA.org:bth-24623DiVA, id: diva2:1759543
Conference
Joint of REFSQ-2023 Workshops, Doctoral Symposium, Posters and Tools Track and Journal Early Feedback, REFSQ-JP 2023, Barcelona, 17 April 2023 through 20 April 2023
Part of project
D-CAT – Digital Collaboration and Automized Tracing Of Information, Swedish Transport Administration
Funder
Swedish Transport Administration2023-05-262023-05-262023-05-26Bibliographically approved