@article{aldrich_model-based_2019,
	title = {Model-{Based} {Adaptation} for {Robotics} {Software}},
	volume = {36},
	issn = {0740-7459},
	doi = {10.1109/MS.2018.2885058},
	abstract = {We 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 software systems that can effectively adapt to changes in their environment.},
	number = {2},
	journal = {IEEE Software},
	author = {Aldrich, J. and Garlan, D. and Kaestner, C. and Goues, C. Le and Mohseni-Kabir, A. and Ruchkin, I. and Samuel, S. and Schmerl, B. and Timperley, C. S. and Veloso, M. and Voysey, I. and Biswas, J. and Guha, A. and Holtz, J. and Camara, J. and Jamshidi, P.},
	month = mar,
	year = {2019},
	keywords = {Adaptation models, automated adaptation, Biological system modeling, control engineering computing, correlation methods, long-lasting software systems, model-based adaptation, Robot sensing systems, robotics software, Robots, software architecture, Software development, software metrics, software performance evaluation, Task analysis},
	pages = {83--90},
	file = {IEEE Xplore Abstract Record:/home/ivan/Dropbox/configs/zotero_storage/storage/CF25VNN5/8648279.html:text/html;IEEE Xplore Full Text PDF:/home/ivan/Dropbox/configs/zotero_storage/storage/Z9HEM4ZA/Aldrich et al. - 2019 - Model-Based Adaptation for Robotics Software.pdf:application/pdf}
}