### Resumé

Originalsprog | Engelsk |
---|---|

Titel | Electronic Proceedings in Theoretical Computer Science |

Vol/bind | 194 |

Publikationsdato | 29 sep. 2015 |

Sider | 110-124 |

DOI | |

Status | Udgivet - 29 sep. 2015 |

Begivenhed | Quantitative Aspects of Programming Languages and Systems - Queen Mary Unversity of London, London, Storbritannien Varighed: 11 apr. 2015 → 12 apr. 2015 http://qapl15.inria.fr/ |

### Konference

Konference | Quantitative Aspects of Programming Languages and Systems |
---|---|

Lokation | Queen Mary Unversity of London |

Land | Storbritannien |

By | London |

Periode | 11/04/2015 → 12/04/2015 |

Internetadresse |

Navn | Electronic Proceedings in Theoretical Computer Science |
---|---|

Nummer | 194 |

ISSN | 2075-2180 |

### Citer dette

*Electronic Proceedings in Theoretical Computer Science*(Bind 194, s. 110-124). Electronic Proceedings in Theoretical Computer Science, Nr. 194 https://doi.org/10.4204/EPTCS.194.8

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*Electronic Proceedings in Theoretical Computer Science.*bind 194, Electronic Proceedings in Theoretical Computer Science, nr. 194, s. 110-124, Quantitative Aspects of Programming Languages and Systems, London, Storbritannien, 11/04/2015. https://doi.org/10.4204/EPTCS.194.8

**Probabilistic Output Analysis by Program Manipulation.** / Rosendahl, Mads; Kirkeby, Maja Hanne.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Probabilistic Output Analysis by Program Manipulation

AU - Rosendahl, Mads

AU - Kirkeby, Maja Hanne

PY - 2015/9/29

Y1 - 2015/9/29

N2 - 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.

AB - 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.

UR - http://eptcs.web.cse.unsw.edu.au/paper.cgi?QAPL2015.8

U2 - 10.4204/EPTCS.194.8

DO - 10.4204/EPTCS.194.8

M3 - Article in proceedings

VL - 194

SP - 110

EP - 124

BT - Electronic Proceedings in Theoretical Computer Science

ER -