TT-RecS: The Taxonomic Trace Recommender System
Ansvarig organisation
2020 (Engelska)Ingår i: 2020 IEEE Seventh International Workshop on Artificial Intelligence for Requirements Engineering (AIRE), Institute of Electrical and Electronics Engineers Inc. , 2020, s. 18-21, artikel-id 9233005Konferensbidrag, Publicerat paper (Refereegranskat)
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.
Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers Inc. , 2020. s. 18-21, artikel-id 9233005
Serie
Trafikverkets forskningsportföljer
Nyckelord [en]
Domain-specific Taxonomy, Recommender System, Requirements, Traceability, Artificial intelligence, Requirements engineering, Knowledge organization, Recommender systems
Nationell ämneskategori
Programvaruteknik
Forskningsämne
FOI-portföljer, Bygga
Identifikatorer
URN: urn:nbn:se:trafikverket:diva-5763DOI: 10.1109/AIRE51212.2020.00009ISI: 000630449700003Scopus ID: 2-s2.0-85096956352ISBN: 9781728183527 (digital)OAI: oai:DiVA.org:trafikverket-5763DiVA, id: diva2:1734382
Konferens
7th International Workshop on Artificial Intelligence and Requirements Engineering, AIRE 2020, Zurich, Switzerland, 1 September 2020
Projekt
KREDA - Kravhantering i en digital anläggning
Forskningsfinansiär
Trafikverket, TRV 2017/925952023-02-062023-02-062023-02-14Bibliografiskt granskad