Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yuxing Xun"'
Publikováno v:
IEEE Transactions on Reliability. 70:1658-1670
Identifying security bug reports (SBRs) accurately from a bug repository can reduce a software product’s security risk. However, the class imbalance problem exists for SBR prediction since the number of SBRs is often limited, and this issue has not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::887080e7531ada41bde0fa4f814fec9a
https://doi.org/10.1109/tr.2021.3118026
https://doi.org/10.1109/tr.2021.3118026
Publikováno v:
Energy. 262:125556
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e880c90b145f8aaccf26efdf11b23e7b
https://doi.org/10.1016/j.energy.2022.125556
https://doi.org/10.1016/j.energy.2022.125556
Publikováno v:
2020 IEEE 2nd International Workshop on Intelligent Bug Fixing (IBF).
Ahstract—Vulnerability detection is an important topic of software engineering. To improve the effectiveness and efficiency of vulnerability detection, many traditional machine learning-based and deep learning-based vulnerability detection methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00460f346558eb1c3444cd8c0571eb4c
https://doi.org/10.1109/ibf50092.2020.9034888
https://doi.org/10.1109/ibf50092.2020.9034888
Publikováno v:
Journal of Systems and Software. 168:110659
Machine learning-based Vulnerability detection is an active research topic in software security. Different traditional machine learning-based and deep learning-based vulnerability detection methods have been proposed. To our best knowledge, we are th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a6828455344cf75ba7a9d308d33e949
https://doi.org/10.1016/j.jss.2020.110659
https://doi.org/10.1016/j.jss.2020.110659