Use of a i*extension for Machine Learning: a real case study
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Título: | Use of a i*extension for Machine Learning: a real case study |
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Autor/es: | Barrera, Jose Manuel | Reina Reina, Alejandro | García-Ponsoda, Sandra | Trujillo, Juan |
Grupo/s de investigación o GITE: | Lucentia |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Palabras clave: | Machine learning | iStar | Requirements engineering | Conceptual modelling | Methodology |
Fecha de publicación: | 6-oct-2022 |
Editor: | CEUR |
Cita bibliográfica: | iStar’22: The 15th International i* Workshop, October 17th, 2022, Hyderabad, India. CEUR Workshop Proceedings, Vol-3231, 14-20 |
Resumen: | Capturing requirements in machine learning projects is a challenging task. It requires domain knowledge as well as experience in the machine learning field. The i* framework is a popular high abstraction-layer requirements capturing tool. However, the use of i* directly in the machine learning field (ML) is unfeasible due to it cannot capture all the restrictions and relationships of ML elements. In previous works we have extended i* to better capture machine learning requirements. In this paper, we apply the i* for machine learning extension to a real machine learning case study, in the context of a project focused on the diagnosis and treatment of Attention-Deficit/Hyperactivity Disorder (ADHD). The results show that the use of the i* for machine learning extension provides insights about the correct path to follow, aiding in the definition and selection of machine learning solutions that better fulfill the project requirements. Moreover, it facilitates faster development of the machine learning solution in a more structured way, avoiding errors and making the application of i* an effective tool for managing machine learning requirements. |
URI: | http://hdl.handle.net/10045/128344 |
ISSN: | 1613-0073 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/conferenceObject |
Derechos: | © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). |
Revisión científica: | si |
Versión del editor: | http://ceur-ws.org/Vol-3231/ |
Aparece en las colecciones: | INV - LUCENTIA - Comunicaciones a Congresos, Conferencias, etc. |
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