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: 
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.
@Article{2019:IEEESoftware:BRASS,
AUTHOR = {Aldrich, Jonathan and Garlan, David and K\"astner, Christian and Le Goues, Claire and Mohseni-Kabir, Anahita and Ruchkin, Ivan and Samuel, Selva and Schmerl, Bradley and Timperley, Christopher Steven and Veloso, Manuela and Voysey, Ian and Biswas, Joydeep and Guha, Arjun and Holtz, Jarrett and C\'{a}mara, Javier and Jamshidi, Pooyan},
TITLE = {Model-Based Adaptation for Robotics Software},
YEAR = {2019},
MONTH = {March},
JOURNAL = {IEEE Software},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/brass-mars-ieee-software2019.pdf},
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}
}
|
