RT Journal Article
T1 The Uncertainty Interaction Problem in Self-Adaptive Systems
A1 Cámara, Javier
A1 Troya, Javier
A1 Vallecillo, Antonio
A1 Bencomo, Nelly
A1 Calinescu, Radu
A1 Cheng, Betty H.C.
A1 Garlan, David
A1 Schmerl, Bradley
A1 Cámara, javier
K1 Sistemas adaptativos
AB The problem of mitigating uncertainty in self-adaptation has driven much of the research proposed in the area of software engineering for self-adaptive systems in the last decade. Although many solutions have already been proposed, most of them tend to tackle specific types, sources, and dimensions of uncertainty (e.g., in goals, resources, adaptation functions) in isolation. A special concern are the aspects associated with uncertainty modeling in an integrated fashion. Different uncertainties are rarely independent and often compound, affecting the satisfaction of goals and other system properties in subtle and often unpredictable ways. Hence, there is still limited understanding about the specific ways in which uncertainties from various sources interact and ultimately affect the properties of self-adaptive, software-intensive systems. In this SoSym expert voice, we introduce the Uncertainty Interaction Problem as a way to better qualify the scope of the challenges with respect to representing different types of uncertainty while capturing their interaction in models employed to reason about self-adaptation. We contribute a characterization of the problem and discuss its relevance in the context of case studies taken from two representative application domains. We positthat the Uncertainty Interaction Problem should drive future research in software engineering for autonomous and self-adaptive systems, and therefore, contribute to evolving uncertainty modeling towards holistic approaches that would enable the construction of more resilient self-adaptive systems
PB Springer
YR 2022
FD 2022-08-17
LK https://hdl.handle.net/10630/33995
UL https://hdl.handle.net/10630/33995
LA eng
NO Cámara, J., Troya, J., Vallecillo, A. et al. The uncertainty interaction problem in self-adaptive systems. Softw Syst Model 21, 1277–1294 (2022). https://doi.org/10.1007/s10270-022-01037-6
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026