1. Alonso, D., Pastor, J.A., Sánchez, P., Álvarez, B., Vicente-Chicote, C.: Automatic code generation for real-time systems: a development approach based on components, models, and frameworks. Rev. Iberoamericana de Autom. Inf. Ind. (RIAI) 9(2), 170–181 (2012).
https://doi.org/10.1016/j.riai.2012.02.010
2. Cámara, J., Peng, W., Garlan, D., Schmerl, B.: Reasoning about sensing uncertainty and its reduction in decision-making for self-adaptation. Sci. Comput. Prog. 167, 51–69 (2018).
https://doi.org/10.1016/j.scico.2018.07.002
3. Gutiérrez, M.A., Romero-Garcés, A., Bustos, P.: Progress in RoboComp. J. Phys. Agents 7(1), 39–48 (2013).
https://doi.org/10.14198/JoPha.2013.7.1.06
4. Inglés-Romero, J.F., Espín, J.M., Jiménez-Andreu, R., Font, R., Vicente-Chicote, C.: Towards the use of quality-of-service metrics in reinforcement learning: a robotics example. In: Proceedings of the 5th International Workshop on Model-driven Robot Software Engineering (MORSE 2018), in Conjunction with MODELS 2018, pp. 465–474 (2018).
http://ceur-ws.org/Vol-2245/morse_paper_4.pdf
5. Inglés-Romero, J.F., Lotz, A., Vicente-Chicote, C., Schlegel, C.: Dealing with run-time variability in service robotics: towards a DSL for non-functional properties. In: Proceedings of the 3rd International Workshop on Domain-Specific Languages and models for ROBotic systems (DSLRob-12) (2012).
https://arxiv.org/pdf/1303.4296.pdf