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TT-RecS: The Taxonomic Trace Recommender System
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-4118-0952
2020 (English)In: Proceedings - 7th International Workshop on Artificial Intelligence and Requirements Engineering, AIRE 2020, Institute of Electrical and Electronics Engineers Inc. , 2020, p. 18-21, article id 9233005Conference paper, Published paper (Refereed)
Abstract [en]

Traditional trace links are established directly between source and target artefacts. This requires that the target artefact exists when the trace is established. We introduce the concept of indirect trace links between a source artefact and a knowledge organization structure, e.g. a taxonomy. This allows the creation of links (we call them taxonomic traces) before target artefacts are created. To gauge the viability of this concept and approach, we developed a prototype, TT-RecS, that allows to create such trace links either manually or with the help of a recommender system. © 2020 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. p. 18-21, article id 9233005
Keywords [en]
Domain-specific Taxonomy, Recommender System, Requirements, Traceability, Artificial intelligence, Requirements engineering, Knowledge organization, Recommender systems
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-20839DOI: 10.1109/AIRE51212.2020.00009ISI: 000630449700003Scopus ID: 2-s2.0-85096956352ISBN: 9781728183527 (print)OAI: oai:DiVA.org:bth-20839DiVA, id: diva2:1509056
Conference
7th International Workshop on Artificial Intelligence and Requirements Engineering, AIRE 2020, Zurich, Switzerland, 1 September 2020
Part of project
SERT- Software Engineering ReThought, Knowledge Foundation
Note

open access

Available from: 2020-12-11 Created: 2020-12-11 Last updated: 2025-09-30Bibliographically approved

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fulltext(3588 kB)300 downloads
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Unterkalmsteiner, Michael

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