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Context: Software Fuzzy Self-Adaptation (SFSA) is a fuzzy control-based software self-adaptation paradigm proposed to deal with the fuzzy uncertainty existing in self-adaptive software.
One well-known approach to engineer adaptive software systems and fulfill QAs of the system is architecture-based self-adaptation.
We illustrate VBF with self-adaptation in Figure 2(b).
In [11], graph transformation is used to model self-adaptation.
The system can achieve self-adaptation progressively in real time.
Neural network also has the ability of self-adaptation.
TiAlN/VN superlattice can achieve another self-adaptation process.
As shown in Figure 5(b), the success rate of VBF with self-adaptation is slightly less than the one without self-adaptation.
The presented work proposed a novel self-adaptation scheme for CR.
In addition, these results also show that self-adaptation algorithm contributes significantly to save energy.
We propose a self-adaptation algorithm based on the concept of desirableness factor.
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