Publication Details

Random Test Stimuli Generation Based on a Probabilistic Grammar

ČEKAN Ondřej and KOTÁSEK Zdeněk. Random Test Stimuli Generation Based on a Probabilistic Grammar. In: Proceedings of the 5th Prague Embedded Systems Workshop. Roztoky u Prahy: Faculty of Information Technology, Czech Technical University, 2017, pp. 43-44. ISBN 978-80-01-06178-7.
Czech title
Náhodné generování testovacích stimulů založené na pravděpodobnostní gramatice
Type
conference paper
Language
english
Authors
Keywords
stimuli generation
probabilistic context-free grammar
constraints
Abstract
In our research, we are focusing on universal test stimuli generation for any system. Under the concept of stimulus generation we understand generating randomly constructed input test data that determine the behavior of the system. In the case of a processor, the input stimulus is a program which determines its computing operation. In the case of a robot controller, input stimulus is a maze that the robot goes through. This random stimulus creates new circumstances which the system must solve. The architecture of the universal stimuli generation which we have defined is based on two input structures (Format and Constrains) that describe a test stimulus.
Published
2017
Pages
43-44
Proceedings
Proceedings of the 5th Prague Embedded Systems Workshop
Conference
The 5th Prague Embedded Systems Workshop, Roztoky u Prahy, CZ
ISBN
978-80-01-06178-7
Publisher
Faculty of Information Technology, Czech Technical University
Place
Roztoky u Prahy, CZ
BibTeX
@INPROCEEDINGS{FITPUB11465,
   author = "Ond\v{r}ej \v{C}ekan and Zden\v{e}k Kot\'{a}sek",
   title = "Random Test Stimuli Generation Based on a Probabilistic Grammar",
   pages = "43--44",
   booktitle = "Proceedings of the 5th Prague Embedded Systems Workshop",
   year = 2017,
   location = "Roztoky u Prahy, CZ",
   publisher = "Faculty of Information Technology, Czech Technical University",
   ISBN = "978-80-01-06178-7",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11465"
}
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