A Comparative Study of Class Rebalancing Methods for Security Bug Report Classification

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 been thoroughly investigated in previous studi...

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Vydané v:	IEEE transactions on reliability Ročník 70; číslo 4; s. 1658 - 1670
Hlavní autori:	Zheng, Wei, Xun, Yuxing, Wu, Xiaoxue, Deng, Zhi, Chen, Xiang, Sui, Yulei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.12.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Class imbalance problem class rebalancing methods Classification classification algorithms Comparative studies Computer bugs Debugging Dimensionality reduction Empirical analysis Impact analysis Performance enhancement Prediction algorithms Predictive models Security security bug report (SBRs) classification Software algorithms State-of-the-art reviews
ISSN:	0018-9529, 1558-1721
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