Model-Based Adaptation for Robotics Software
Jonathan Aldrich,
David Garlan, Christian Kästner, Claire Le Goues, Anahita Mohseni-Kabir,
Ivan Ruchkin, Selva Samuel,
Bradley Schmerl, Christopher Steven Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz,
Javier Cámara and
Pooyan Jamshidi.
In IEEE Software, March 2019.
Online links:   Plain Text
Abstract
| We have developed model-based adaptation, an approach that leverages models of software and its environment to enable automated adaptation. The goal of our approach is to build long-lasting mobile software systems that can effectively adapt to changes in their environment. |
Keywords: Self-adaptation.
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