@misc{GhahremaniGiese2019,
  author    = {Ghahremani, Sona and Giese, Holger},
  title     = {Performance evaluation for self-healing systems},
  series = {2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)},
  journal   = {2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {978-1-7281-2406-3},
  doi       = {10.1109/FAS-W.2019.00039},
  pages     = {116 -- 119},
  year      = {2019},
  abstract  = {Evaluating the performance of self-adaptive systems (SAS) is challenging due to their complexity and interaction with the often highly dynamic environment. In the context of self-healing systems (SHS), employing simulators has been shown to be the most dominant means for performance evaluation. Simulating a SHS also requires realistic fault injection scenarios. We study the state of the practice for evaluating the performance of SHS by means of a systematic literature review. We present the current practice and point out that a more thorough and careful treatment in evaluating the performance of SHS is required.},
  language  = {en}
}