Machine learning techniques for software vulnerability prediction: a comparative study-Reference-Cited by-同舟云学术

Machine learning techniques for software vulnerability prediction: a comparative study

Published:2022-04-04 Issue:15 Volume:52 Page:17614-17635
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Jabeen Gul,Rahim Sabit^ORCID,Afzal Wasif^ORCID,Khan Dawar^ORCID,Khan Aftab Ahmed,Hussain Zahid,Bibi Tehmina

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-022-03350-5.pdf

Reference75 articles.

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4. Zeng J, Nie X, Chen L, Li J, Du G, Shi G (2020) An efficient vulnerability extrapolation using similarity of graph kernel of pdgs. In: 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE, pp 1664–1671

5. Dam HK, Tran T, Pham TTM, Ng SW, Grundy J, Ghose A (2018) Automatic feature learning for predicting vulnerable software components. IEEE Trans Softw Eng

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