Modeling and estimation of non-functional properties: leveraging the power of QoS metrics

• Autores: Cristina Vicente Chicote, Daniel García Pérez, Pablo García, Juan F. Inglés Romero, A. Romero Garcés, Jesús Martínez Burgos
• Localización: From Bioinspired Systems and Biomedical Applications to Machine Learning: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3–7, 2019, Proceedings, Part II / coord. por Hojjat Adeli; José Manuel Ferrández Vicente (dir. congr.), José Ramón Álvarez Sánchez (dir. congr.), Félix de la Paz López (dir. congr.), Francisco Javier Toledo Moreo (dir. congr.), 2019, ISBN 978-3-030-19651-6, págs. 380-388
• Idioma: inglés
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• Resumen

  • Non-Functional Properties (e.g., safety, dependability orresource consumption, just to name a few), play a key role in most software systems. The RoQME Integrated Technical Project, funded by the EU H2020 RobMoSys Project, aims at contributing a model-driven toolchain for dealing with system-level non-functional properties through thespecification of global q uality-of-service (QoS) metrics. The estimation of these metrics at runtime, in terms of the available contextual information, can then be used for different purposes, such as dynamic software adaptation or benchmarking. This paper describes the advances achievedin RoQME and presents one of the pilot experiments developed to showcase the tool-chain developed as part of the project.