Symbolic Grey-Box Learning of Input-Output Relations

@inproceedings{Babic2012SymbolicGL,
  title={Symbolic Grey-Box Learning of Input-Output Relations},
  author={Domagoj Babic and Matko Botincan and Dawn SongDawn Song},
  year={2012}
}
Learning of stateful models has been extensively used in ver ification. Some applications include inference of interface invariants, learning-guided concolic execution, compositional verification, and regular model checking. Learning shows a great pro mise for verification, but suffers from two fundamental limitati ons. First, learning stateful models over concrete alphabets does not s cale in practice, as alphabets can be large or even infinite in size. S econd, learning techniques produce… CONTINUE READING
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