An Approach to Cluster Scenarios According to their Similarity using Natural Language Processing

cic.institucionOrigenLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.isFulltextSI
cic.isPeerReviewedSI
cic.lugarDesarrolloLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.parentTypeObjeto de conferencia
cic.versionAceptada
dc.date.accessioned2023-12-21T12:09:10Z
dc.date.available2023-12-21T12:09:10Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/12153
dc.titleAn Approach to Cluster Scenarios According to their Similarity using Natural Language Processingen
dc.typeDocumento de conferencia
dcterms.abstractScenarios are ideal to capture knowledge in human computer interface software engineering. Requirements engineering is a fundamental part of software development. If errors appear in this stage, it will be expensive to correct them in further stages. The domain experts and the developer team belong to different worlds. This generates a gap in communication between them. Because of it, it is important to use artifacts in natural language to communicate both sides. One simpler approach to specify requirements is Scenarios. They are widely used artifacts that generally describe the dynamics (tasks, activities) to be carried out in some specific situation. Generally, scenarios promote communication and participation from both sides. This can cause some problems. One of these problems is redundancy, that occurs when two stakeholders describe the same situation in different artifacts. This paper proposes an approach to analyze a set of scenarios by grouping them according to their similarity. The similarity is calculated through a series of comparisons of the different attributes of the scenario. This paper also describes a prototype implementing this method. Finally, the paper shows the result of a preliminary evaluation with results about the applicability of the approach.en
dcterms.creator.authorDelle Ville, Juliana
dcterms.creator.authorTorres, Diego
dcterms.creator.authorFernández, Alejandro
dcterms.creator.authorAntonelli, Leandro
dcterms.identifier.otherISBN: 978-3-031-57982-0es
dcterms.identifier.otherDOI: 10.1007/978-3-031-57982-0_5en
dcterms.isPartOf.itemHuman-Computer Interaction. HCI-COLLAB 2023. Communications in Computer and Information Science, vol 1877en
dcterms.isPartOf.seriesIX Iberoamerican Conference on Human Computer Interaction (Argentina, 13 al 15 de septiembre de 2023)es
dcterms.issued2023-09
dcterms.languageInglés
dcterms.licenseAttribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0)
dcterms.subjectScenariosen
dcterms.subjectNatural language processingen
dcterms.subjectSimilarityen
dcterms.subject.materiaCiencias de la Computación e Información

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