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...
| Autores: | , |
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| 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 |
| Sumario: | 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. |
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