Deep learning based automatic software defects detection framework

Autor: Chrenousov, Artem, Savchenko, Artem, Osadchyi, Serhii, Kubiuk, Yevhen, Kostenko, Yevhen, Likhomanov, Dmytro

Publikováno v: Theoretical and Applied Cybersecurity; Том 1, № 1 (2019)
Theoretical and Applied Cybersecurity; Том 1, № 1 (2019): Theoretical and Applied Cybersecurity

We present the VulDetect, a source code vulnerability detection system. This system uses deep learning methods to organizate rules for deciding whether a code fragment is vulnerable. This approach is an improvement of the approach proposed in VulDeeP

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::707986410246dbb8e2b6c8289284ead5
http://tacs.ipt.kpi.ua/article/view/169086