Application of SME in the DOGO4ML project: an example

The discipline of Situational Method Engineering (SME) [HRA14] provides theory and guidance to build methods that consider the specific situation of the organization or project at hand. This is facilitated by the modularity of the methods that are defined in terms of autonomous and interoperable bui...

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Detalles Bibliográficos
Autores: Costal Costa, Dolors|||0000-0002-7340-0414, Quer, Carme|||0000-0002-9000-6371
Tipo de recurso: informe técnico
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/445172
Acceso en línea:https://hdl.handle.net/2117/445172
Access Level:acceso abierto
Palabra clave:Situational Method Engineering
SME
Àrees temàtiques de la UPC::Informàtica::Enginyeria del software
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
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spelling Application of SME in the DOGO4ML project: an exampleCostal Costa, Dolors|||0000-0002-7340-0414Quer, Carme|||0000-0002-9000-6371Situational Method EngineeringSMEÀrees temàtiques de la UPC::Informàtica::Enginyeria del softwareÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàticThe discipline of Situational Method Engineering (SME) [HRA14] provides theory and guidance to build methods that consider the specific situation of the organization or project at hand. This is facilitated by the modularity of the methods that are defined in terms of autonomous and interoperable building blocks (method components), which represent process fragments. These fragments can be assembled (composed) to define the intended method. The DOGO4ML project (https://dogo4ml.upc.edu/en) focuses on obtaining a holistic end-to-end framework to develop, operate and govern Machine Learning (ML) software systems and their data. To address the challenges imposed by this end, the DOGO4ML project uses SME to define its proposals in terms of method chunks to conform a library such that its elements can be combined into more general processes. This report illustrates the application of SME in the DOGO4ML project by means of an application example.This report illustrates the application of Situational Method Engineering in the DOGO4ML project by means of an application example. The application example is based on a proposal for the measurement and treatment of ML pipelines code smells.This work has been funded by the National Spanish Program for Research Aimed at the Challenges of Society 2020. The project and funding identifiers are PID2020-117191RB-I00/ AEI/10.13039/501100011033.20252025-10-0120252025-11-03reporthttp://purl.org/coar/resource_type/c_93fcAOhttp://purl.org/coar/version/c_b1a7d7d4d402bcceinfo:eu-repo/semantics/reportapplication/pdfhttps://hdl.handle.net/2117/445172reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-117191RB-I00 DESARROLLO, OPERATIVA Y GOBERNANZA DE DATOS PARA SISTEMAS SOFTWARE BASADOS EN APRENDIZAJE AUTOMATICOopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4451722026-05-27T15:37:01Z
dc.title.none.fl_str_mv Application of SME in the DOGO4ML project: an example
title Application of SME in the DOGO4ML project: an example
spellingShingle Application of SME in the DOGO4ML project: an example
Costal Costa, Dolors|||0000-0002-7340-0414
Situational Method Engineering
SME
Àrees temàtiques de la UPC::Informàtica::Enginyeria del software
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
title_short Application of SME in the DOGO4ML project: an example
title_full Application of SME in the DOGO4ML project: an example
title_fullStr Application of SME in the DOGO4ML project: an example
title_full_unstemmed Application of SME in the DOGO4ML project: an example
title_sort Application of SME in the DOGO4ML project: an example
dc.creator.none.fl_str_mv Costal Costa, Dolors|||0000-0002-7340-0414
Quer, Carme|||0000-0002-9000-6371
author Costal Costa, Dolors|||0000-0002-7340-0414
author_facet Costal Costa, Dolors|||0000-0002-7340-0414
Quer, Carme|||0000-0002-9000-6371
author_role author
author2 Quer, Carme|||0000-0002-9000-6371
author2_role author
dc.subject.none.fl_str_mv Situational Method Engineering
SME
Àrees temàtiques de la UPC::Informàtica::Enginyeria del software
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
topic Situational Method Engineering
SME
Àrees temàtiques de la UPC::Informàtica::Enginyeria del software
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
description The discipline of Situational Method Engineering (SME) [HRA14] provides theory and guidance to build methods that consider the specific situation of the organization or project at hand. This is facilitated by the modularity of the methods that are defined in terms of autonomous and interoperable building blocks (method components), which represent process fragments. These fragments can be assembled (composed) to define the intended method. The DOGO4ML project (https://dogo4ml.upc.edu/en) focuses on obtaining a holistic end-to-end framework to develop, operate and govern Machine Learning (ML) software systems and their data. To address the challenges imposed by this end, the DOGO4ML project uses SME to define its proposals in terms of method chunks to conform a library such that its elements can be combined into more general processes. This report illustrates the application of SME in the DOGO4ML project by means of an application example.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-10-01
2025
2025-11-03
dc.type.none.fl_str_mv report
http://purl.org/coar/resource_type/c_93fc
AO
http://purl.org/coar/version/c_b1a7d7d4d402bcce
dc.type.openaire.fl_str_mv info:eu-repo/semantics/report
format report
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/445172
url https://hdl.handle.net/2117/445172
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-117191RB-I00 DESARROLLO, OPERATIVA Y GOBERNANZA DE DATOS PARA SISTEMAS SOFTWARE BASADOS EN APRENDIZAJE AUTOMATICO
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
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
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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