David Garlan
Affiliations: | Computer Science | Carnegie Mellon University, Pittsburgh, PA |
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"David Garlan"Children
Sign in to add trainee| Bridget Spitznagel | grad student | 2004 | Carnegie Mellon |
| Joao P. Sousa | grad student | 2005 | Carnegie Mellon |
| Shang-Wen Cheng | grad student | 2008 | Carnegie Mellon |
| Vahe V. Poladyan | grad student | 2008 | Carnegie Mellon |
| Ivan Ruchkin | grad student | 2011-2019 | Carnegie Mellon |
| Gregory D. Abowd | post-doc | 1992-1994 | Carnegie Mellon |
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Publications
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| Mendonca NC, Jamshidi P, Garlan D, et al. (2019) Developing Self-Adaptive Microservice Systems: Challenges and Directions Ieee Software. 0-0 |
| Camara J, Garlan D, Eakman G. (2019) Building Long-Lived Adaptive Systems Ieee Software. 36: 70-72 |
| Aldrich J, Garlan D, Kaestner C, et al. (2019) Model-Based Adaptation for Robotics Software Ieee Software. 36: 83-90 |
| Bozhinoski D, Garlan D, Malavolta I, et al. (2019) Managing safety and mission completion via collective run-time adaptation Journal of Systems Architecture. 95: 19-35 |
| Cámara J, Garlan D, Schmerl BR. (2019) Synthesizing tradeoff spaces with quantitative guarantees for families of software systems Journal of Systems and Software. 152: 33-49 |
| Moreno GA, Cámara J, Garlan D, et al. (2018) Flexible and Efficient Decision-Making for Proactive Latency-Aware Self-Adaptation Acm Transactions On Autonomous and Adaptive Systems. 13: 3 |
| Mead NR, Garlan D, Shaw M. (2018) Half a Century of Software Engineering Education: The CMU Exemplar Ieee Software. 35: 25-31 |
| Cámara J, Peng W, Garlan D, et al. (2018) Reasoning about sensing uncertainty and its reduction in decision-making for self-adaptation Science of Computer Programming. 167: 51-69 |
| Cámara J, Moreno GA, Garlan D, et al. (2016) Analyzing Latency-Aware Self-Adaptation Using Stochastic Games and Simulations Acm Transactions On Autonomous and Adaptive Systems. 10: 23 |
| Cámara J, Lopes A, Garlan D, et al. (2016) Adaptation impact and environment models for architecture-based self-adaptive systems Science of Computer Programming. 127: 50-75 |