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

• Autores: Antonelli, Leandro; Camilleri, Guy; Challiol, Cecilia; Fernández, Alejandro; Hozikian, Mariángeles; Giandini, Roxana Silvia; Grigera, Julián; Lliteras, Alejandra Beatriz; Martin, Jonathan; Torres, Diego; Zarate, Pascale
• Año de publicación: 2021
• Idioma: inglés
• Tipo de recurso: parte de libro
• Materia: Ciencias de la Computación; Scenarios; Uncertainties; Decision support; Agri-business; LEL
• Institución: Comisión de Investigaciones Científicas de la Provincia de Buenos Aires

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.