Publication detail

A Probabilistic Context-Free Grammar Based Random Test Program Generation

ČEKAN, O. KOTÁSEK, Z.

Original Title

A Probabilistic Context-Free Grammar Based Random Test Program Generation

Type

conference paper

Language

English

Original Abstract

The aim of this paper is to show the use of a probabilistic context-free grammar in the domain of stimulus generation, especially random test program generation for processors. Nowadays, the randomly constructed test stimuli are largely applied in functional verification to verify the proper design and final implementation of systems. Context-free grammar cannot be used by itself in this case, because conditions for instructions of the program are changing during the generation. Therefore, there is a need to introduce additional logic in the form of constraints. Constraints guarantee the continuous changes of probabilities in the grammar and their application in order to preserve the validity of the program. The use of the grammar system provides a formal description of the stimuli, while the connection with constraints allows for the wide use in various systems. Experiments demonstrate that this approach is competitive with a conventional approach.

Keywords

Probabilistic Context-Free Grammar, Random Test Program Generation, Stimulus, Constraint

Authors

ČEKAN, O.; KOTÁSEK, Z.

Released

30. 8. 2017

Publisher

Technical University Wien

Location

Vídeň

ISBN

978-1-5386-2145-5

Book

Proceedings of 20th Euromicro Conference on Digital System Design

Pages from

356

Pages to

359

Pages count

4

URL

https://www.fit.vut.cz/research/publication/11426/

BibTex

@inproceedings{BUT144432,
  author="Ondřej {Čekan} and Zdeněk {Kotásek}",
  title="A Probabilistic Context-Free Grammar Based Random Test Program Generation",
  booktitle="Proceedings of 20th Euromicro Conference on Digital System Design",
  year="2017",
  pages="356--359",
  publisher="Technical University Wien",
  address="Vídeň",
  doi="10.1109/DSD.2017.26",
  isbn="978-1-5386-2145-5",
  url="https://www.fit.vut.cz/research/publication/11426/"
}

Documents

DSD2017.pdf