Uncertainty in Self-Adaptive Systems
Javier Cámara,
David Garlan, Won Gu Kang, Wenxin Peng and
Bradley Schmerl.
Technical report, CMU-ISR-17-110, Institute for Software Research, Carnegie Mellon University, July 2017. http://reports-archive.adm.cs.cmu.edu/anon/isr2017/abstracts/17-110.html.
Online links:   Plain Text
Abstract
| Self-Adaptive systems are expected to adapt to unanticipated run-time events using imperfect information
about their environment. This entails handling the effects of uncertainties in decision-making, which are
not always considered as a first-class concern. This technical report summarizes a set of existing techniques
and insights into addressing uncertainty in self-adaptive systems and outlines a future research agenda on
uncertainty management in self-adaptive systems. The material in this report is strongly informed by our
own research in the area, and is therefore not necessarily representative of other works. |
Keywords: Human-in-the-loop, Self-adaptation, uncertainty.
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