Bringing Software Engineering Discipline to the Development of AI-enabled Systems

[EN] Engineering AI Software systems is starting to evolve from the pure development of machine learning (ML) models to a more structured discipline that treats ML components as part of much larger software systems. As such, more structured principles are required for their development, such as esta...

Descripción completa

Detalles Bibliográficos
Autores: Staron, Miroslaw, Lewis, Grace, Honnenahalli, Chetan, Abrahao Gonzales, Silvia Mara|||0000-0003-3580-2014
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/220771
Acceso en línea:https://riunet.upv.es/handle/10251/220771
Access Level:acceso abierto
Palabra clave:Machine learning
Software systems
Modeling
Software engineering
Software development management
Artificial intelligence
id ES_7bb72df29aa41d69b47a9c6bd2bce7d3
oai_identifier_str oai:riunet.upv.es:10251/220771
network_acronym_str ES
network_name_str España
repository_id_str
spelling Bringing Software Engineering Discipline to the Development of AI-enabled SystemsStaron, MiroslawLewis, GraceHonnenahalli, ChetanAbrahao Gonzales, Silvia Mara|||0000-0003-3580-2014Machine learningSoftware systemsModelingSoftware engineeringSoftware development managementArtificial intelligence[EN] Engineering AI Software systems is starting to evolve from the pure development of machine learning (ML) models to a more structured discipline that treats ML components as part of much larger software systems. As such, more structured principles are required for their development, such as established design principles, established development models, and safeguards for deployed ML models. This column focuses on papers presented at the Third International Conference on AI Engineering¿Software Engineering for AI (CAIN 2024). The selected papers reflect the current development of the field of AI systems engineering and AI software development, taking it to the next level of maturity. Feedback or suggestions are welcome. In addition, if you try or adopt any of the practices included in the column, please send us and the authors of the paper(s) a note about your experiences.Institute of Electrical and Electronics EngineersInstituto Universitario Mixto de Tecnología de InformáticaDepartamento de Sistemas Informáticos y ComputaciónEscuela Técnica Superior de Ingeniería InformáticaRepositorio Institucional de la Universitat Politècnica de València Riunet20242024-08-13journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/220771reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2207712026-06-13T07:49:27Z
dc.title.none.fl_str_mv Bringing Software Engineering Discipline to the Development of AI-enabled Systems
title Bringing Software Engineering Discipline to the Development of AI-enabled Systems
spellingShingle Bringing Software Engineering Discipline to the Development of AI-enabled Systems
Staron, Miroslaw
Machine learning
Software systems
Modeling
Software engineering
Software development management
Artificial intelligence
title_short Bringing Software Engineering Discipline to the Development of AI-enabled Systems
title_full Bringing Software Engineering Discipline to the Development of AI-enabled Systems
title_fullStr Bringing Software Engineering Discipline to the Development of AI-enabled Systems
title_full_unstemmed Bringing Software Engineering Discipline to the Development of AI-enabled Systems
title_sort Bringing Software Engineering Discipline to the Development of AI-enabled Systems
dc.creator.none.fl_str_mv Staron, Miroslaw
Lewis, Grace
Honnenahalli, Chetan
Abrahao Gonzales, Silvia Mara|||0000-0003-3580-2014
author Staron, Miroslaw
author_facet Staron, Miroslaw
Lewis, Grace
Honnenahalli, Chetan
Abrahao Gonzales, Silvia Mara|||0000-0003-3580-2014
author_role author
author2 Lewis, Grace
Honnenahalli, Chetan
Abrahao Gonzales, Silvia Mara|||0000-0003-3580-2014
author2_role author
author
author
dc.contributor.none.fl_str_mv Instituto Universitario Mixto de Tecnología de Informática
Departamento de Sistemas Informáticos y Computación
Escuela Técnica Superior de Ingeniería Informática
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Machine learning
Software systems
Modeling
Software engineering
Software development management
Artificial intelligence
topic Machine learning
Software systems
Modeling
Software engineering
Software development management
Artificial intelligence
description [EN] Engineering AI Software systems is starting to evolve from the pure development of machine learning (ML) models to a more structured discipline that treats ML components as part of much larger software systems. As such, more structured principles are required for their development, such as established design principles, established development models, and safeguards for deployed ML models. This column focuses on papers presented at the Third International Conference on AI Engineering¿Software Engineering for AI (CAIN 2024). The selected papers reflect the current development of the field of AI systems engineering and AI software development, taking it to the next level of maturity. Feedback or suggestions are welcome. In addition, if you try or adopt any of the practices included in the column, please send us and the authors of the paper(s) a note about your experiences.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-08-13
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/220771
url https://riunet.upv.es/handle/10251/220771
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869411535619620864
score 15.811543

Similares en LA Referencia