TT-RecS: The Taxonomic Trace Recommender System
Responsible organisation
2020 (English)In: 2020 IEEE Seventh International Workshop on Artificial Intelligence for Requirements Engineering (AIRE), 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
Series
Trafikverkets forskningsportföljer
Keywords [en]
Domain-specific Taxonomy, Recommender System, Requirements, Traceability, Artificial intelligence, Requirements engineering, Knowledge organization, Recommender systems
National Category
Software Engineering
Research subject
FOI-portföljer, Bygga
Identifiers
URN: urn:nbn:se:trafikverket:diva-5763DOI: 10.1109/AIRE51212.2020.00009ISI: 000630449700003Scopus ID: 2-s2.0-85096956352ISBN: 9781728183527 (electronic)OAI: oai:DiVA.org:trafikverket-5763DiVA, id: diva2:1734382
Conference
7th International Workshop on Artificial Intelligence and Requirements Engineering, AIRE 2020, Zurich, Switzerland, 1 September 2020
Projects
KREDA - Kravhantering i en digital anläggning
Funder
Swedish Transport Administration, TRV 2017/925952023-02-062023-02-062023-02-14Bibliographically approved