SASS: Self-Adaptation Using Stochastic Search

@article{Coker2015SASSSU,
  title={SASS: Self-Adaptation Using Stochastic Search},
  author={Zack Coker and David Garlan and Claire Le Goues},
  journal={2015 IEEE/ACM 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems},
  year={2015},
  pages={168-174}
}
Future-generation self-adaptive systems will need to be able to optimize for multiple interrelated, difficult-to-measure, and evolving quality properties. To navigate this complex search space, current self-adaptive planning techniques need to be improved. In this position paper, we argue that the research community should more directly pursue the application of stochastic search techniques---search techniques, such as hill climbing or genetic algorithms, that incorporate an element of… CONTINUE READING
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