Secure Software Development in the Era of Fluid Multi-party Open Software and Services

Pashchenko, Ivan; Scandariato, Riccardo; Sabetta, Antonino; Massacci, Fabio

doi:10.1109/icse-nier52604.2021.00027

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2022

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Cited by 2 publications

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References 36 publications

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“…Hence, such techniques cannot always be seamlessly integrated into the continuous delivery pipelines of today's software projects. 2,3 In this respect, machine learning (ML) techniques seem to have become a very attractive alternative to traditional software defect detection and correction techniques. In this article, we discuss a representative snapshot of the state-of-the-art research on the detection and correction of security defects through ML techniques.…”

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confidence: 99%