An empirical model to predict security vulnerabilities using code complexity metrics
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ACM Press
Cited by 62 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A catalog of metrics at source code level for vulnerability prediction: A systematic mapping study;Journal of Software: Evolution and Process;2023-11-17
2. Learning to Predict Tendency of CVE Vulnerability;2023 6th International Conference on Computer Network, Electronic and Automation (ICCNEA);2023-09-22
3. A Software Vulnerability Prediction Model Using Traceable Code Patterns and Software Metrics;SN Computer Science;2023-08-09
4. Using software metrics for predicting vulnerable classes in java and python based systems;Information Security Journal: A Global Perspective;2023-07-28
5. Green Fuzzing: A Saturation-Based Stopping Criterion using Vulnerability Prediction;Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis;2023-07-12
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