An extension to scenarios to deal with business cases for the decision-making processes in the agribusiness domain

cic.institucionOrigenLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)es
cic.isFulltexttruees
cic.isPeerReviewedtruees
cic.lugarDesarrolloLaboratorio de Investigación y Formación en Informática Avanzadaes
dc.date.accessioned2021-03-16T12:38:34Z
dc.date.available2021-03-16T12:38:34Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/10821
dc.titleAn extension to scenarios to deal with business cases for the decision-making processes in the agribusiness domainen
dc.typeParte de libroes
dcterms.abstractWith the aim of pushing innovation through information and communication technology in the agri-business field, working closely with farmers is essential. It is especially important to systematically capture their knowledge in order to analyze, propose and design innovation artifacts (in terms of software applications). In this article, we use Scenarios to capture the knowledge of the experts that is elicited in early meetings previous to the definition of requirements. At those early stages, there are many uncertainties, and we are particularly interested in decision support. Thus, we propose an extension of the Scenarios for dealing with uncertainties. Scenarios are described in natural language, and it is very important to have an unbiased vocabulary. We complement Scenarios with a specific glossary, the Language Extended Lexicon that is also extended to decision support. According to V-model life cycle, every stage has a testing related stage. Thus, we also propose a set of rules to derive tests from the Scenarios. Summing up, we propose (i) an extension to Scenarios and the Language Extended Lexicon templates, (ii) a set of rules to derive tests, and (iii) an application to support the proposed technique. We have applied the proposed approach in a couple of case studies and we are confident that the results are promising. Nevertheless, we need to perform a further exhaustive validation.en
dcterms.creator.authorAntonelli, Leandroes
dcterms.creator.authorCamilleri, Guyes
dcterms.creator.authorChalliol, Ceciliaes
dcterms.creator.authorFernández, Alejandroes
dcterms.creator.authorHozikian, Mariángeleses
dcterms.creator.authorGiandini, Roxana Silviaes
dcterms.creator.authorGrigera, Juliánes
dcterms.creator.authorLliteras, Alejandra Beatrizes
dcterms.creator.authorMartin, Jonathanes
dcterms.creator.authorTorres, Diegoes
dcterms.creator.authorZarate, Pascalees
dcterms.creator.editorHernández, Jorge E.es
dcterms.creator.editorKacprzyk, Januszes
dcterms.extent35-50es
dcterms.identifier.isbn978-3-030-51047-3es
dcterms.identifier.otherdoi:10.1007/978-3-030-51047-3_3es
dcterms.identifier.urlRecurso completoes
dcterms.isPartOf.itemAgriculture Value Chain - Challenges and Trends in Academia and Industryes
dcterms.issued2021
dcterms.languageIngléses
dcterms.licenseAttribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0)es
dcterms.publisherSpringeres
dcterms.subjectScenariosen
dcterms.subjectUncertaintiesen
dcterms.subjectDecision supporten
dcterms.subjectAgri-businessen
dcterms.subjectLELen
dcterms.subject.materiaCiencias de la Computaciónes
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