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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.

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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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