Abstract
Many important functions over strings can be represented as finite-state string transducers. In this paper, we present an automatatheoretic technique for algorithmically verifying that such a function is robust to uncertainty. A function encoded as a transducer is defined to be robust if for each small (i.e., bounded) change to any input string, the change in the transducer’s output is proportional to the change in the input. Changes to input and output strings are quantified using weighted generalizations of the Levenshtein and Manhattan distances over strings. Our main technical contribution is a set of decision procedures based on reducing the problem of robustness verification of a transducer to the problem of checking the emptiness of a reversal-bounded counter machine. The decision procedures under the generalized Manhattan and Levenshtein distance metrics are in Pspace and Expspace, respectively. For transducers that are Mealy machines, the decision procedures under these metrics are in Nlogspace and Pspace, respectively.
This research was partially supported by CCC-CRA Computing Innovation Fellows Project, NSF Award 1162076 and NSF CAREER award 1156059.
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Samanta, R., Deshmukh, J.V., Chaudhuri, S. (2013). Robustness Analysis of String Transducers. In: Van Hung, D., Ogawa, M. (eds) Automated Technology for Verification and Analysis. Lecture Notes in Computer Science, vol 8172. Springer, Cham. https://doi.org/10.1007/978-3-319-02444-8_30
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