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...
| Authors: | ; |
|---|---|
| Format: | Report |
| Publication date: | 2025 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/445172 |
| Online Access: | https://hdl.handle.net/2117/445172 |
| Access Level: | Open access |
| Keyword: | Situational Method Engineering SME Àrees temàtiques de la UPC::Informàtica::Enginyeria del software Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic |
| _version_ | 1878739196412166144 |
|---|---|
| author | Costal Costa, Dolors|||0000-0002-7340-0414 |
| author2 | Quer, Carme|||0000-0002-9000-6371 |
| author2_role | author |
| author_browse | Costal Costa, Dolors|||0000-0002-7340-0414 Quer, Carme|||0000-0002-9000-6371 |
| author_facet | Costal Costa, Dolors|||0000-0002-7340-0414 Quer, Carme|||0000-0002-9000-6371 |
| author_role | author |
| collection | UPCommons. Portal del coneixement obert de la UPC |
| 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. |
| eu_rights_str_mv | openAccess |
| format | report |
| id | ES_bcdf039cc7cdba9ca36a2c5d9dca22ef |
| institution | Universitat Politècnica de Catalunya (UPC) |
| instname_str | Universitat Politècnica de Catalunya (UPC) |
| language | eng |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:upcommons.upc.edu:2117/445172 |
| publishDate | 2025 |
| publishDateSort | 2025 |
| reponame_str | UPCommons. Portal del coneixement obert de la UPC |
| spelling | Application of SME in the DOGO4ML project: an example Costal Costa, Dolors|||0000-0002-7340-0414 Quer, Carme|||0000-0002-9000-6371 Situational Method Engineering SME Àrees temàtiques de la UPC::Informàtica::Enginyeria del software Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic 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. 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. https://hdl.handle.net/2117/445172 |
| 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 | 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_short | Application of SME in the DOGO4ML project: an example |
| title_sort | Application of SME in the DOGO4ML project: an example |
| 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 |
| topic_facet | Situational Method Engineering SME Àrees temàtiques de la UPC::Informàtica::Enginyeria del software Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic |
| url | https://hdl.handle.net/2117/445172 |