An Extension to Scenarios to Deal with Business Cases for the Decision-Making Processes in the Agribusiness Domain
| Autor: | Julián Grigera, Mariángeles Hozikian, Alejandro Fernández, Roxana Silvia Giandini, Diego F. Torres, Cecilia Challiol, Alejandra Beatriz Lliteras, Pascale Zaraté, Leandro Antonelli, Jonathan Martin, Guy Camilleri |
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| Přispěvatelé: | Laboratorio de Investigación y Formación en Informática Avanzada [La Plata] (LIFIA), Facultad de Ciencias Exactas [La Plata], Universidad Nacional de la Plata [Argentine] (UNLP)-Universidad Nacional de la Plata [Argentine] (UNLP), Systèmes Multi-Agents Coopératifs (IRIT-SMAC), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Université Toulouse III - Paul Sabatier (UT3), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), Comision de Investigaciones Cientificas de la Provincia de BsAs (CICPBA), Universidad Nacional de Quilmes (UNQ), Argumentation, Décision, Raisonnement, Incertitude et Apprentissage (IRIT-ADRIA), Hernández, Jorge E., Kacprzyk, Janusz |
| Rok vydání: | 2020 |
| Předmět: |
Decision support system
Vocabulary Glossary Computer science media_common.quotation_subject Decision Support Ciencias Informáticas 02 engineering and technology Machine learning computer.software_genre Lexicon [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] Domain (software engineering) Scenarios 0202 electrical engineering electronic engineering information engineering Business case media_common business.industry 020207 software engineering [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] Uncertainties LEL Ciencias de la Computación Decision support Complement (complexity) Agri-business 020201 artificial intelligence & image processing Artificial intelligence business computer Natural language |
| Zdroj: | Studies in Systems, Decision and Control ISBN: 9783030510466 SEDICI (UNLP) Universidad Nacional de La Plata instacron:UNLP Agriculture Value Chain-Challenges and Trends in Academia and Industry Agriculture Value Chain-Challenges and Trends in Academia and Industry, 280, Springer, pp.35-50, 2021, Studies in Systems, Decision and Control book series (SSDC), 978-3-030-51046-6. ⟨10.1007/978-3-030-51047-3_3⟩ CIC Digital (CICBA) Comisión de Investigaciones Científicas de la Provincia de Buenos Aires instacron:CICBA |
| Popis: | With 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. Laboratorio de Investigación y Formación en Informática Avanzada |
| Databáze: | OpenAIRE |
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