Geodesic
An approach to fuzz testing data generation for applied and system software
Prikladnaâ diskretnaâ matematika, no. 12 (2010), pp. 79-81 
A. N. Makarov. An approach to fuzz testing data generation for applied and system software. Prikladnaâ diskretnaâ matematika, no. 12 (2010), pp. 79-81. http://geodesic.mathdoc.fr/item/PDM_2010_12_a38/
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     author = {A. N. Makarov},
     title = {An approach to fuzz testing data generation for applied and system software},
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     url = {http://geodesic.mathdoc.fr/item/PDM_2010_12_a38/}
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Voir la notice de l'article provenant de la source Math-Net.Ru

The problems related to input data generation for fuzz testing are discussed in the article. Existing fuzzers mainly realize the generators depending on target software. The creation of more universal generators requires data structures descriptive tools, which would have more expressive description possibilities for data structures internal relations.

[1] Makarov A. N., “Metod avtomatizirovannogo poiska programmnykh oshibok v algoritmakh obrabotki slozhnostrukturirovannykh dannykh”, Prikladnaya diskretnaya matematika, 2009, no. 3(5), 117–127

[2] Miller C., Peterson Z. N. J., Analysis of Mutation and Generation-Based Fuzzing, 2007 http://www.securityevaluators.com

[3] Sait proekta TreeDl http://treedl.org