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

Autores
Antonelli, Rubén Leandro; Camilleri, Guy; Challiol, Cecilia; Fernández, Alejandro; Hozikian, Mariángeles; Giandini, Roxana Silvia; Grigera, Julián; Lliteras, Alejandra Beatriz; Martín, Jonathan; Torres, Diego; Zarate, Pascale; Hernández, Jorge E.; Kacprzyk, J.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
parte de libro
Estado
versión publicada
Descripción
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
Materia
Ciencias Informáticas
Scenarios
Uncertainties
Decision support
Agri-business
LEL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/119053
Acceder
id SEDICI_6792ae7d8bd61a6138054d50f279edb5
oai_identifier_str oai:sedici.unlp.edu.ar:10915/119053
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling An extension to scenarios to deal with business cases for the decision-making processes in the agribusiness domainAntonelli, Rubén LeandroCamilleri, GuyChalliol, CeciliaFernández, AlejandroHozikian, MariángelesGiandini, Roxana SilviaGrigera, JuliánLliteras, Alejandra BeatrizMartín, JonathanTorres, DiegoZarate, PascaleHernández, Jorge E.Kacprzyk, J.Ciencias InformáticasScenariosUncertaintiesDecision supportAgri-businessLELWith 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 AvanzadaSpringer2021info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionCapitulo de librohttp://purl.org/coar/resource_type/c_3248info:ar-repo/semantics/parteDeLibroapplication/pdf35-50http://sedici.unlp.edu.ar/handle/10915/119053enginfo:eu-repo/semantics/altIdentifier/isbn/978-3-030-51047-3info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-51047-3_3info:eu-repo/semantics/altIdentifier/hdl/11746/10821info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:28:04Zoai:sedici.unlp.edu.ar:10915/119053Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:28:04.921SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv An extension to scenarios to deal with business cases for the decision-making processes in the agribusiness domain
title An extension to scenarios to deal with business cases for the decision-making processes in the agribusiness domain
spellingShingle An extension to scenarios to deal with business cases for the decision-making processes in the agribusiness domain
Antonelli, Rubén Leandro
Ciencias Informáticas
Scenarios
Uncertainties
Decision support
Agri-business
LEL
title_short An extension to scenarios to deal with business cases for the decision-making processes in the agribusiness domain
title_full An extension to scenarios to deal with business cases for the decision-making processes in the agribusiness domain
title_fullStr An extension to scenarios to deal with business cases for the decision-making processes in the agribusiness domain
title_full_unstemmed An extension to scenarios to deal with business cases for the decision-making processes in the agribusiness domain
title_sort An extension to scenarios to deal with business cases for the decision-making processes in the agribusiness domain
dc.creator.none.fl_str_mv Antonelli, Rubén Leandro
Camilleri, Guy
Challiol, Cecilia
Fernández, Alejandro
Hozikian, Mariángeles
Giandini, Roxana Silvia
Grigera, Julián
Lliteras, Alejandra Beatriz
Martín, Jonathan
Torres, Diego
Zarate, Pascale
Hernández, Jorge E.
Kacprzyk, J.
author Antonelli, Rubén Leandro
author_facet Antonelli, Rubén Leandro
Camilleri, Guy
Challiol, Cecilia
Fernández, Alejandro
Hozikian, Mariángeles
Giandini, Roxana Silvia
Grigera, Julián
Lliteras, Alejandra Beatriz
Martín, Jonathan
Torres, Diego
Zarate, Pascale
Hernández, Jorge E.
Kacprzyk, J.
author_role author
author2 Camilleri, Guy
Challiol, Cecilia
Fernández, Alejandro
Hozikian, Mariángeles
Giandini, Roxana Silvia
Grigera, Julián
Lliteras, Alejandra Beatriz
Martín, Jonathan
Torres, Diego
Zarate, Pascale
Hernández, Jorge E.
Kacprzyk, J.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Scenarios
Uncertainties
Decision support
Agri-business
LEL
topic Ciencias Informáticas
Scenarios
Uncertainties
Decision support
Agri-business
LEL
dc.description.none.fl_txt_mv 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
description 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.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/publishedVersion
Capitulo de libro
http://purl.org/coar/resource_type/c_3248
info:ar-repo/semantics/parteDeLibro
format bookPart
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/119053
url http://sedici.unlp.edu.ar/handle/10915/119053
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-3-030-51047-3
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-51047-3_3
info:eu-repo/semantics/altIdentifier/hdl/11746/10821
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
35-50
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844616159056363520
score 13.069144

Publicaciones similares