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.
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11487 LNCS, pp. 380–388). Springer Verlag. https://doi.org/10.1007/978-3-030-19651-6_37
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