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1
Using Software Metrics for Predicting Vulnerable Code-Compo..:
, In:
2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)
,
Chong, Tai-Yin
;
Anu, Vaibhav
;
Sultana, Kazi Zakia
- p. 98-103 , 2019
Link:
https://doi.org/10.1109/CSE/EUC.2019.00028
RT T1 <cTitle>2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)</cTitle>: T1 <Title>Using Software Metrics for Predicting Vulnerable Code-Components: A Study on Java and Python Open Source Projects</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8919513&Exemplar=1&LAN=DE A1 Chong, Tai-Yin A1 Anu, Vaibhav A1 Sultana, Kazi Zakia YR 2019 K1 Software metrics K1 Java K1 Python K1 Security K1 Testing K1 software security, software metrics, vulnerability prediction, software reliability, machine learning SP 98 OP 103 LK http://dx.doi.org/https://doi.org/10.1109/CSE/EUC.2019.00028 DO https://doi.org/10.1109/CSE/EUC.2019.00028 SF ELIB - SuUB Bremen
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