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Publications of Year << 2019 >>   Download bibtex file
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1
Javier Cámara, David Garlan and Bradley Schmerl. Synthesizing Tradeoff Spaces of Quantitative Guarantees for Families of Software Systems. In Journal of Systems and Software, 2019. Accepted for publication. https://doi.org/10.1016/j.jss.2019.02.055.
2
Jonathan Aldrich, David Garlan, Christian Kästner, Claire Le Goues, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Samuel, Bradley Schmerl, Chrisopher Steven Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz, Javier Cámara and Pooyan Jamshidi. Model-Based Adaptation for Robotics Software. In IEEE Software, March 2019.
3
Darko Bozhinoski, David Garlan, Ivano Malavolta and Patrizio Pelliccione. Managing safety and mission completion via collective run-time adaptation. In Journal of Systems Architecture, Vol. 95:19--35, 2019.
<< InProceedings >> TOP
4
Pooyan Jamshidi, Javier Cámara, Bradley Schmerl, Christian Kästner and David Garlan. Machine Learning Meets Quantitative Planning: Enabling Self-adaptation in Autonomous Robots. In Proceedings of the 14th Symposium on Software Engineering for Adaptive and Self-Managing Systems, Montreal, Canada, 25-26 May 2019. To appear.
5
Ellin Zhao and Roykrong Sukkerd. Interactive Explanation for Planning-Based Systems. In Proceedings of the 10th ACM/IEEE International Conference on Cyberphysical Systems, Work-in-Progress track, Montreal, Canada, 16-18 April 2019.
6
Thomas J. Glazier and David Garlan. An Automated Approach to Management of a Collection of Autonomic Systems. In Proceedings of the 4th eCAS Workshop on Engineering Collective Adaptive Systems, Umea, Sweden, 16 June 2019.
7
Gabriel A. Moreno, Cody Kinneer, Ashutosh Pandey and David Garlan. DARTSim: An Exemplar for Evaluation and Comparison of Self-Adaptation Approaches for Smart Cyber-Physical Systems. In Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Montreal, Canada, 25-26 May 2019. Winner of the Best Artifact Award.
<< PhdThesis >> TOP
8
Ivan Ruchkin. Integration of Modeling Methods for Cyber-Physical Systems. PhD thesis, Carnegie Mellon University, March 2019. Institute for Software Research Technical Report CMU-ISR-18-107.
<< Unpublished >> TOP
9
Ashutosh Pandey, Ivan Ruchkin, Bradley Schmerl, Javier Cámara and David Garlan. Formalizing the Hybrid Planning Problem for Self-Adaptation. 2019. Submitted for publication.
10
Cody Kinneer, David Garlan and Claire Le Goues. Information Reuse and Stochastic Search: Managing Uncertainty in Self-* Systems. 2019. Submitted for publication.
11
Ashutosh Pandey, Ivan Ruchkin, Bradley Schmerl and David Garlan. Fast and Slow Planning: An Empirical Study of Learning-based Hybrid Planning. 2019. Submitted for publication.
12
Changjian Zhang, David Garlan and Eunsuk Kang. Safe Run-time Recon guration for Event-driven Systems with Pub/Sub in ROS. 2019. Submitted for publication.
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