Integrated requirements engineering framework with intelligent systems and semantic reasoning for the extraction of application vocabularies

Autores
Corral, Alexandra; Sánchez, Luis E.; Antonelli, Rubén Leandro
Año de publicación
2022
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Domain discovery is an essential activity in the early stages of software development, problems of understanding and communication are common in development teams, due to the excessive handling of information from different sources, generating great effort in: consensus, interpretation and transfer of useful information for the application. For this reason, it has been seen the need to merge artificial intelligence with requirements engineering processes that mimic human behavior, through the creation of a vocabulary for the application, improving the Extended Lexicon of Language LEL, using Natural Language Processing, ontologies for semantic reasoning and heuristic rules to improve completeness.
Facultad de Informática
Materia
Ciencias Informáticas
Software Engineering
Software Requirements
Artificial Intelligence Techniques
Natural Language Processing
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:10915/158786
Acceder
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Integrated requirements engineering framework with intelligent systems and semantic reasoning for the extraction of application vocabulariesCorral, AlexandraSánchez, Luis E.Antonelli, Rubén LeandroCiencias InformáticasSoftware EngineeringSoftware RequirementsArtificial Intelligence TechniquesNatural Language ProcessingDomain discovery is an essential activity in the early stages of software development, problems of understanding and communication are common in development teams, due to the excessive handling of information from different sources, generating great effort in: consensus, interpretation and transfer of useful information for the application. For this reason, it has been seen the need to merge artificial intelligence with requirements engineering processes that mimic human behavior, through the creation of a vocabulary for the application, improving the Extended Lexicon of Language LEL, using Natural Language Processing, ontologies for semantic reasoning and heuristic rules to improve completeness.Facultad de Informática2022info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf197-200http://sedici.unlp.edu.ar/handle/10915/158786enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-2303-5info:eu-repo/semantics/reference/hdl/10915/158339info: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:UNLP2025-09-29T11:41:26Zoai:sedici.unlp.edu.ar:10915/158786Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:41:26.823SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Integrated requirements engineering framework with intelligent systems and semantic reasoning for the extraction of application vocabularies
title Integrated requirements engineering framework with intelligent systems and semantic reasoning for the extraction of application vocabularies
spellingShingle Integrated requirements engineering framework with intelligent systems and semantic reasoning for the extraction of application vocabularies
Corral, Alexandra
Ciencias Informáticas
Software Engineering
Software Requirements
Artificial Intelligence Techniques
Natural Language Processing
title_short Integrated requirements engineering framework with intelligent systems and semantic reasoning for the extraction of application vocabularies
title_full Integrated requirements engineering framework with intelligent systems and semantic reasoning for the extraction of application vocabularies
title_fullStr Integrated requirements engineering framework with intelligent systems and semantic reasoning for the extraction of application vocabularies
title_full_unstemmed Integrated requirements engineering framework with intelligent systems and semantic reasoning for the extraction of application vocabularies
title_sort Integrated requirements engineering framework with intelligent systems and semantic reasoning for the extraction of application vocabularies
dc.creator.none.fl_str_mv Corral, Alexandra
Sánchez, Luis E.
Antonelli, Rubén Leandro
author Corral, Alexandra
author_facet Corral, Alexandra
Sánchez, Luis E.
Antonelli, Rubén Leandro
author_role author
author2 Sánchez, Luis E.
Antonelli, Rubén Leandro
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Software Engineering
Software Requirements
Artificial Intelligence Techniques
Natural Language Processing
topic Ciencias Informáticas
Software Engineering
Software Requirements
Artificial Intelligence Techniques
Natural Language Processing
dc.description.none.fl_txt_mv Domain discovery is an essential activity in the early stages of software development, problems of understanding and communication are common in development teams, due to the excessive handling of information from different sources, generating great effort in: consensus, interpretation and transfer of useful information for the application. For this reason, it has been seen the need to merge artificial intelligence with requirements engineering processes that mimic human behavior, through the creation of a vocabulary for the application, improving the Extended Lexicon of Language LEL, using Natural Language Processing, ontologies for semantic reasoning and heuristic rules to improve completeness.
Facultad de Informática
description Domain discovery is an essential activity in the early stages of software development, problems of understanding and communication are common in development teams, due to the excessive handling of information from different sources, generating great effort in: consensus, interpretation and transfer of useful information for the application. For this reason, it has been seen the need to merge artificial intelligence with requirements engineering processes that mimic human behavior, through the creation of a vocabulary for the application, improving the Extended Lexicon of Language LEL, using Natural Language Processing, ontologies for semantic reasoning and heuristic rules to improve completeness.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/158786
url http://sedici.unlp.edu.ar/handle/10915/158786
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-2303-5
info:eu-repo/semantics/reference/hdl/10915/158339
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
197-200
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
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score 13.070432

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