Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review-Reference-Cited by-同舟云学术

Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review

Published:2023-03-01 Issue:3 Volume:49 Page:1044-1063
ISSN:0098-5589
Container-title:IEEE Transactions on Software Engineering
language:
Short-container-title:IIEEE Trans. Software Eng.

Author:

Croft Roland¹^ORCID,Xie Yongzheng¹,Babar Muhammad Ali¹

Affiliation:

1. Centre for Research on Engineering Software Technologies (CREST), School of Computer Science, University of Adelaide, Adelaide, Australia

Funder

Cyber Security Cooperative Research Centre Limited

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Software

Link

http://xplorestaging.ieee.org/ielx7/32/10070338/09765337.pdf?arnumber=9765337

Reference76 articles.

1. Software Vulnerability Detection Using Deep Neural Networks: A Survey

2. The impact of tangled code changes on defect prediction models

3. The impact of mislabelling on the performance and interpretation of defect prediction models;tantithamthavorn;Proceedings of the International Conference on Software Engineering ICSE'94,2015

4. Learning from Imbalanced Data

5. Challenges with applying vulnerability prediction models

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