Title :
Poster: Model-based Run-time Variability Resolution for Robotic Applications
Author :
Gherardi, Luca ; Hochgeschwender, Nico
Author_Institution :
Inst. for Dynamic Syst. & Control, ETH Zurich, Zurich, Switzerland
Abstract :
In this paper we present our ongoing work on Robotics Run-time Adaptation (RRA). RRA is a model-driven approach that addresses robotics runtime adaptation by modeling and resolving run-time variability of robotic applications.
Keywords :
robots; RRA; model-based run-time variability resolution; model-driven approach; robotic applications; robotics run-time adaptation; Adaptation models; Computer architecture; Context; Context modeling; Engines; Robots; Software architecture; Model-based Approach; Runtime Adaptation; Variability Resolution;
Conference_Titel :
Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICSE.2015.269
