A Classification Framework of Uncertainty in Architecture-Based Self-Adaptive Systems With Multiple Quality Requirements
S. Mahdavi-Hezavehi*,†; P. Avgeriou*; D. Weyns†* University of Groningen, Groningen, Netherlands† Linnaeus University, Växjö, Sweden
The underlying uncertainty in self-adaptive systems aggravates the complexity of selecting best adaptation action alternative, and handling requirements trade-offs. To efficiently tackle uncertainty, it is necessary to have a comprehensive overview of different types of uncertainty and their specifications.
In this paper we aim at (a) reviewing the state-of-the-art of architecture-based approaches tackling uncertainty in self-adaptive systems with multiple ...
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