Faculty of Information Technology, BUT

Publication Details

Random Stimuli Generation Based on a Stochastic Context-Free Grammar

ČEKAN Ondřej, PODIVÍNSKÝ Jakub and KOTÁSEK Zdeněk. Random Stimuli Generation Based on a Stochastic Context-Free Grammar. In: Proceedings of the 2016 International Conference on Field Programmable Technology. Xi'an: IEEE Computer Society, 2016, pp. 295-296. ISBN 978-1-5090-5602-6.
Czech title
Generování náhodných stimulů založené na pravděpodobnostní bezkontextové gramatice
Type
conference paper
Language
english
Authors
Keywords
Context-Free Grammar
Random Stimuli Generation
Stimulus
Constraint
Abstract

The aim of this paper is to present the use of a stochastic context-free grammar in the domain of stimulus generation. Nowadays, the randomly constructed stimuli are largely applied in functional verification to verify a proper design and final implementation. Context-free grammar cannot be used by itself in the stimuli generation, therefore, an additional logic in the form of constraints has to be applied. The aim of the research is to create versatile solution for stimuli generation that can be used for various systems. The results achieved till now are used in verifying fault tolerance qualities of electromechanical designs, the control unit of which is implemented into FPGA.
Published
2016
Pages
295-296
Proceedings
Proceedings of the 2016 International Conference on Field Programmable Technology
Conference
The 2016 International Conference on Field-Programmable Technology, Xi'an, CN
ISBN
978-1-5090-5602-6
Publisher
IEEE Computer Society
Place
Xi'an, CN
DOI
BibTeX
@INPROCEEDINGS{FITPUB11266,
   author = "Ond\v{r}ej \v{C}ekan and Jakub Podiv\'{i}nsk\'{y} and Zden\v{e}k Kot\'{a}sek",
   title = "Random Stimuli Generation Based on a Stochastic Context-Free Grammar",
   pages = "295--296",
   booktitle = "Proceedings of the 2016 International Conference on Field Programmable Technology",
   year = 2016,
   location = "Xi'an, CN",
   publisher = "IEEE Computer Society",
   ISBN = "978-1-5090-5602-6",
   doi = "10.1109/FPT.2016.7929558",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11266"
}
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