Mads Rosendahl (Roskilde University, Denmark) |
Maja H. Kirkeby (Roskilde University, Denmark) |

The aim of a probabilistic output analysis is to derive a probability distribution of possible output values for a program from a probability distribution of its input. We present a method for performing static output analysis, based on program transformation techniques. It generates a probability function as a possibly uncomputable expression in an intermediate language. This program is then analyzed, transformed, and approximated. The result is a closed form expression that computes an over approximation of the output probability distribution for the program. We focus on programs where the possible input follows a known probability distribution. Tests in programs are not assumed to satisfy the Markov property of having fixed branching probabilities independently of previous history. |

Published: 28th September 2015.

ArXived at: https://dx.doi.org/10.4204/EPTCS.194.8 | bibtex | |

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