Abstract
Non-Functional Properties (e.g., safety, dependability or resource 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 tool-chain for dealing with system-level non-functional properties through the specification of global quality-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 achieved in RoQME and presents one of the pilot experiments developed to showcase the tool-chain developed as part of the project.
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Acknowledgements
The RoQME Project has received funding from the European Union’s H2020 Research and Innovation Programme under grant agreement No. 732410, in the form of financial support to third parties of the RobMoSys Project. The authors want to thank D. Stampfer, M. Lutz, A. Lotz and C. Schlegel, from the University of Applied Sciences of Ulm (Germany), for their continued support during the RoQME project and in the development of the Intralogistics Robotic pilot.
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Vicente-Chicote, C., García-Pérez, D., García-Ojeda, P., Inglés-Romero, J.F., Romero-Garcés, A., Martínez, J. (2019). Modeling and Estimation of Non-functional Properties: Leveraging the Power of QoS Metrics. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) From Bioinspired Systems and Biomedical Applications to Machine Learning. IWINAC 2019. Lecture Notes in Computer Science(), vol 11487. Springer, Cham. https://doi.org/10.1007/978-3-030-19651-6_37
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